Fatty acid profiles of various biodiesel feed stocks
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 179 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 252 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
\n'}],latestNews:[{slug:"stanford-university-identifies-top-2-scientists-over-1-000-are-intechopen-authors-and-editors-20210122",title:"Stanford University Identifies Top 2% Scientists, Over 1,000 are IntechOpen Authors and Editors"},{slug:"intechopen-authors-included-in-the-highly-cited-researchers-list-for-2020-20210121",title:"IntechOpen Authors Included in the Highly Cited Researchers List for 2020"},{slug:"intechopen-maintains-position-as-the-world-s-largest-oa-book-publisher-20201218",title:"IntechOpen Maintains Position as the World’s Largest OA Book Publisher"},{slug:"all-intechopen-books-available-on-perlego-20201215",title:"All IntechOpen Books Available on Perlego"},{slug:"oiv-awards-recognizes-intechopen-s-editors-20201127",title:"OIV Awards Recognizes IntechOpen's Editors"},{slug:"intechopen-joins-crossref-s-initiative-for-open-abstracts-i4oa-to-boost-the-discovery-of-research-20201005",title:"IntechOpen joins Crossref's Initiative for Open Abstracts (I4OA) to Boost the Discovery of Research"},{slug:"intechopen-hits-milestone-5-000-open-access-books-published-20200908",title:"IntechOpen hits milestone: 5,000 Open Access books published!"},{slug:"intechopen-books-hosted-on-the-mathworks-book-program-20200819",title:"IntechOpen Books Hosted on the MathWorks Book Program"}]},book:{item:{type:"book",id:"9902",leadTitle:null,fullTitle:"Service Robotics",title:"Service Robotics",subtitle:null,reviewType:"peer-reviewed",abstract:"We feel the impact of robots on our lives more and more every day. 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Bone grafting is an essential technique practiced by craniofacial, maxillofacial, orthopedic, neuro, reconstructive and oral surgeons. Bone grafting can be used for reconstruction and restoring missing bone in trauma and tumor surgery of the facial bone or in road traffic accidents with multiple injuries and in post-traumatic missile war injuries to the face or limbs. Bone grafts, in the form of Kummoona Chondro-Ossous graft or Costo-Chondral graft, are used for reconstruction of damage TMJ for restoration of growth, function, and repair. Bone grafting is a surgical procedure where the iliac crest or rib or tibia is used to perform grafting. In this book, we examine the experimental studies on rabbits to understand the cellular changes associated with bone grafting. From this, we noticed that mesenchymal stem cells and growth factor are released from platelets and these play an important role in healing the bone graft. We recommend this valuable book to all cranio-maxillofacial, orthopedic, plastic, reconstructive, neuro and oral surgeons and to all postgraduate students studying bone grafting.",isbn:"978-1-78984-883-0",printIsbn:"978-1-78984-882-3",pdfIsbn:"978-1-83881-763-3",doi:"10.5772/intechopen.73956",price:119,priceEur:129,priceUsd:155,slug:"bone-grafting-recent-advances-with-special-references-to-cranio-maxillofacial-surgery",numberOfPages:130,isOpenForSubmission:!1,hash:"536ef0d393c2af079dcc8b90dae0e68c",bookSignature:"Raja Kummoona",publishedDate:"December 19th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/7157.jpg",keywords:null,numberOfDownloads:4852,numberOfWosCitations:1,numberOfCrossrefCitations:1,numberOfDimensionsCitations:2,numberOfTotalCitations:4,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 22nd 2018",dateEndSecondStepPublish:"April 19th 2018",dateEndThirdStepPublish:"June 18th 2018",dateEndFourthStepPublish:"September 6th 2018",dateEndFifthStepPublish:"November 5th 2018",remainingDaysToSecondStep:"3 years",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:"Edited by",kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"93854",title:"Prof.",name:"Raja",middleName:"K",surname:"Kummoona",slug:"raja-kummoona",fullName:"Raja Kummoona",profilePictureURL:"https://mts.intechopen.com/storage/users/93854/images/system/93854.jpeg",biography:"Professor Raja Kummoona is a Fellow of the Royal College of Surgeons of England (FDSRCS), Emeritus professor of Maxillofacial Surgery of Iraqi Board for Medical Specializations, Fellow Royal Society of Medicine, Research Fellow Royal College of Surgeons of England from 1975 to 1977, President of Iraqi Dental Society (1977-1985), Registrar of Primary FDSRCS in Iraq (1985-1990), the most distinguished professor of the University of Baghdad (1991-1992), one of 40 top scientist in Iraq awarded a gold medal for 3 years (2000-2002) by presidential celebration. He has had many publications and contribution to science by advocating many surgical procedures and research in cancer surgery and flap reconstruction, TMJ surgery and maxillofacial injuries, orbit tumors and injuries, missile war injuries of the face with advancing surgery of war injuries of the face worldwide. He has contributed to research in cancer and has developed post graduate studies in maxillofacial surgery in Iraq. He is the Editor of Neck Dissection, Clinical Application and Recent Advances (February, 2012, IntechOpen), Surgical Reconstruction of the Temporomandibular Joint (2013), Germany, Disease of the TMJ, Surgical reconstruction, clinical & experimental studies (April, 2014, Science PG), Missile war injuries of the face, maxillofacial injuries in road traffic (book published by Science PG, 2014), and Jaw lymphoma and orofacial tumors (2015, published by Science PG), Bone grafting, recent advances with special reference to craniomaxillofacial surgery (December, 2018, IntechOpen), Craniofacial deformity and normal variations of jaws relationship (OMICS International). He is a member of the editorial board of 15 international distinguished journals, President of Society of Iraqi Maxillofacial Surgery, a Founder member of the International Society of Head Neck Trauma, 2015, London, and Chairman of the Department of Maxillofacial Surgery, College of Dentistry, University of Baghdad 1982-2000. He is a member of the Council of College of Dentistry (1975-2000), Founder and Chairman council of Maxillofacial Surgery, Iraqi Board for Medical Specializations (1993-2010). He has about 129 papers published and is an eminent figure in craniofacial surgery in the Middle East.",institutionString:"Prof. Emeritus Iraqi Board for Medical Specializations",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"5",totalChapterViews:"0",totalEditedBooks:"2",institution:null}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1149",title:"Oral and Maxillofacial Surgery",slug:"oral-and-maxillofacial-surgery"}],chapters:[{id:"63388",title:"Introductory Chapter: Bone Grafting and Its Application in Cranial-Maxillofacial Surgery. 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Among all these alternative energy sources, biofuels are one of the potential alternative energy sources that can fulfill a part of the current energy demand. The concept of biofuels dates back to the 19th century when researchers tried to use vegetable oil as a fuel for diesel engines. But the problems associated with the usage of oils directly as fuel and the availability of fossil fuels made the concept of vegetable oil fuels uneconomical. Due to rapid depletion of petroleum based fuels, ever increasing consumption of fuels in developing nations and environmental concerns led scientists and governments to develop fuels based on oils or lipids. These oils or lipids cannot be used directly as liquid fuels but can be processed and/or upgraded to be used as a blend or as a direct substitute for the regular fuel. Biodiesel, green diesel, bio-jet fuel or green jet fuel and green gasoline are examples of renewable transportation fuels. Vegetable and plant oils, animal fats, and waste cooking oil from food processing industries have been used as a primary feedstock for the production of renewable transportation fuels. Along with these sources, micro algae have also attained significant attention as a source of oil/lipids, due to high productivity of oil compared to plants in a given period of time and area [1]. Apart from the higher lipids, algal biomass is being used as a source for the production of proteins, amino acids and carbohydrates [2, 3]. Cultivation of algal biomass in waste water treatment plants which contribute to the cleaning of water and production of fuels. In spite of having more oil yield than plant crops, algae feedstock has its own problems of processing the biomass such as harvesting, drying and extraction of oil to produce biofuels. Various processing technologies are available to produce these bio fuels from different feed stock materials. This chapter focuses on the production of biodiesel from oils/fats and wet algal biomass through supercritical alcohol transesterification, novel methods for extraction of oil/lipids from wet algal biomass, liquefaction of whole algal biomass through hydrothermal extraction and liquefaction (HT E&L) and catalytic hydrothermolysis to produce regular hydrocarbon fuels from oils using supercritical water. Before discussing the biofuels production, the sub and super critical technologies will be discussed.
As shown in figure 1, the four phases of a pure material or compound can be observed at different temperature and pressure conditions. When a compound is heated above its boiling point and below its critical point under pressure, it is called a subcritical fluid and when a compound is heated above its critical point is called as supercritical fluid. The sub critical and supercritical fluids possess different physical-chemical properties compared to their properties at normal conditions. They are compressibility (like gases) due to reduced densities, increased polarity due to reduced dielectric constants and they have catalytic properties attained by variations in ion dissociation constants. Above the critical point the particular material obtains gas like densities, liquid like solvating properties and intermediate mass transfer kinetics [4]. By varying temperature and pressure, these enhanced capabilities of the sub and supercritical fluids are being used for environmentally benign selective separations, catalytic reactions for production or purification of various products. The commonly known supercritical fluids are water, CO2, ethanol, methanol, ethane, methane etc. In this chapter the utilization of water, methanol, and ethanol to produce various kinds of biofuels or fuel intermediates will be discussed.
Phase diagram of a pure compound
Biodiesel is one of the first generation biofuel developed that is being used in present day transportation. Biodiesel is not a new source of alternative fuel, it has a long history. When Rudolph diesel invented the diesel engine, he also suggested that pure vegetable oils can be used as a fuel in those engines. Three decades later basic research has started to use modified vegetable oil as a fuel in the diesel engine. This modified vegetable oil can be called as biodiesel. It took almost a century after the invention of diesel engine to start extensive research on biodiesel and its use as a fuel. Biodiesel is a fuel derived from biomass such as vegetable oil, animal fat, algae or other renewable resources which consist of long chain alkyl esters. Biodiesel is a nontoxic, renewable, biodegradable, and eco-friendly fuel. Biodiesel produces lower emissions compared to that of regular petroleum based fuels. Biodiesel usage in the place of regular diesel fuel can reduce emissions such as SOx, CO, particulate matter and hydrocarbons in the exhaust gas and it is better than regular diesel fuel in terms of sulfur content, flash point, aromatic content, and cetane number. Biodiesel does not contribute to a net rise in the level of carbon dioxide in the atmosphere and has the capability of minimizing the intensity of the greenhouse effect. Biodiesel is more promising fuel because of its renewability, energy security and the high energy content consistent with that of petroleum based fuels. Biodiesel can be used as a fuel blend or as a substitute and will have similar properties to that of regular diesel. Several countries around the world have made it mandatory to sell regular diesel fuel with a blend biodiesel and gasoline with a blend of ethanol in order of environmental concerns to address. The blend concentration varies and can be denoted by different notations such as B100 (pure biodiesel), B50 (50% biodiesel, 50% petroleum diesel), B20 (20% biodiesel, 80% petroleum diesel), B10, B5 etc.
There are different processes to make biodiesel from renewable feedstock. These include but are not limited to pyrolysis, micro emulsions, dilution, catalytic cracking, and transesterification. Pyrolysis is a thermo chemical process that decomposes organic material in the absence of oxygen. In this process, the biomass will be converted into bio oil which is similar to crude oil. This oil will be further converted to small chain hydrocarbons via hydro treating and hydrocracking and then used as transportation fuels. Micro emulsions are isotropic mixtures of oil, water and a surfactant; which can be blended with petroleum diesel fuels, solvents such as alcohols and can be used as transportation fuels. Other methods like dilution and catalytic cracking and transesterification can also be used for the production of biodiesel.
Among all these processes, transesterification is one of the most economic and to produce biodiesel simplest way. Transesterification or alcoholysis is a process in which the triglycerides present in the oils chemically react with alcohol to produce alkyl esters with or without the aid of a catalyst. Alcohols like methanol, ethanol, propanol, butanol and amyl alcohol can be used for transesterification. When the transesterification occurs in the presence of methanol, it is known as methanolysis and the esters formed are known as fatty acid methyl esters. Ethyl esters, propyl esters and butyl esters will be produced when their respective alcohols are used in the transesterification process. On an industrial scale, methanol a ‘refinery residue’ is the primary alcohol used for the production of biodiesel. Ethanol is an agricultural product which is renewable, non-toxic, eco-friendly and can also be used for biodiesel synthesis. Figure 2 shows a simple mechanism of transesterification reaction with ethanol as alcohol.
Transesterification reaction: R1, R2 and R3 are long chain hydrocarbons which may be same or different
Biodiesel can be produced by various transesterification methods using alkali, acid or enzyme catalysts or by advanced methods such as microwave irradiation and ultrasonic transesterification. The alkali process gives a high purity, high yield biodiesel in a short span of reaction time but is not suitable for oils with high free fatty acid (FFA) content, for these oils, acid esterification followed by alkali transesterification can be employed to reduce the high FFA content and to improve the biodiesel yield. However, the longer reaction time and low catalyst recovery are problems in this process. Enzyme catalytic transesterification requires longer reaction times. All the methods mentioned above have their limitation and challenges such as longer reaction time, lower reaction rate, and weak catalytic activity.
To overcome these limitations, non-catalytic transesterification can be implemented to produce biodiesel under supercritical alcohol conditions [5]. Under supercritical conditions, the intermolecular hydrogen bonding in the alcohol molecule will be significantly decreased. As a result, the polarity and dielectric constant of alcohol are reduced allowing it to act as a free monomer. Alcohol at supercritical conditions can solvate the triglycerides to form a single phase of oil/alcohol mixture and yield fatty acid alkyl ester and diglycerides. Diglyceride is further transesterified to form ethyl ester and monoglyceride, which in the last step is then converted into alkyl ester and glycerol. Vegetable oils which include edible oils such as palm oil, sunflower oil, rice bran oil, rapeseed oil and non-edible oils such as jatropha oil, paradise oil, and pongamia oil can be used in biodiesel production. Waste cooking oil, algae and animal fats such as lard, tallow, yellow grease are also potential feedstock in the production of biodiesel. Table 1 shows the fatty acid profiles of some common biodiesel feed stocks collected from literature from Balat et al.,[6] and others. The fatty acid profiles of the same (particular) feed stocks may vary due to its cultivation conditions and extraction methods.
\n\t\t\t\tFeed stock\n\t\t\t | \n\t\t\t\n\t\t\t\tC16:0\n\t\t\t | \n\t\t\t\n\t\t\t\tC16:1\n\t\t\t | \n\t\t\t\n\t\t\t\tC18:0\n\t\t\t | \n\t\t\t\n\t\t\t\tC18:1\n\t\t\t | \n\t\t\t\n\t\t\t\tC18:2\n\t\t\t | \n\t\t\t\n\t\t\t\tC18:3\n\t\t\t | \n\t\t\t\n\t\t\t\tothers\n\t\t\t | \n\t\t
Sunflower oil | \n\t\t\t6.4 | \n\t\t\t0.1 | \n\t\t\t2.9 | \n\t\t\t17.7 | \n\t\t\t72.9 | \n\t\t\t0 | \n\t\t\t0 | \n\t\t
Palm oil | \n\t\t\t42.6 | \n\t\t\t0.3 | \n\t\t\t4.4 | \n\t\t\t40.5 | \n\t\t\t10.1 | \n\t\t\t0.2 | \n\t\t\t1.1 | \n\t\t
Soybean oil | \n\t\t\t13.9 | \n\t\t\t0.3 | \n\t\t\t2.1 | \n\t\t\t23.2 | \n\t\t\t56.2 | \n\t\t\t4.3 | \n\t\t\t0 | \n\t\t
Rapeseed oil | \n\t\t\t3.5 | \n\t\t\t0 | \n\t\t\t0.9 | \n\t\t\t64.1 | \n\t\t\t223 | \n\t\t\t8.2 | \n\t\t\t0 | \n\t\t
Tallow [7] | \n\t\t\t26.2 | \n\t\t\t1.9 | \n\t\t\t33.67 | \n\t\t\t30.1 | \n\t\t\t0.7 | \n\t\t\t0 | \n\t\t\t0 | \n\t\t
Lard [8] | \n\t\t\t24.7 | \n\t\t\t2.9 | \n\t\t\t13.1 | \n\t\t\t42.48 | \n\t\t\t13.64 | \n\t\t\t1.16 | \n\t\t\t2 | \n\t\t
Waste cooking oil [9] | \n\t\t\t6.8 | \n\t\t\t0.4 | \n\t\t\t3.7 | \n\t\t\t22.8 | \n\t\t\t65.2 | \n\t\t\t0.1 | \n\t\t\t0 | \n\t\t
Fatty acid profiles of various biodiesel feed stocks
The catalytic transesterification processes requires a lower amount of alcohol (1:9 oil to alcohol ratio), and mild temperatures (60oC) for the production of biodiesel. Alkali catalysts like potassium hydroxide, sodium hydroxide, sodium methoxide, potassium methoxide and acid catalysts like hydrochloric acid, phosphoric acid, and sulfuric acid can be used as catalysts in catalytic transesterification but catalyst separation, free fatty acid and water interference in the reaction, glycerol separation, and energy intensive are disadvantages. The use of different feed stocks, different alcohols greatly vary the processing conditions; the complete conversion may not be achieved with such changes in the process, reaction times could reach hours or days and separation of product becomes much more challenging.
In a non-catalytic supercritical alcohol process, the transesterification of triglycerides and the alkyl esterification of fatty acids will occur simultaneously with a shorter reaction time and reduced the energy consumption due to the simplified separation and purification steps. This process does not require any pre-treatment of the feed stock regardless of its fatty acid composition and profile. In non-catalytic supercritical transesterification the oil to alcohol ration varies between 1:40-45 depending upon the feed stocks fatty acid profile, 290-350oC temperature, and reaction pressure above saturation pressure [5, 10]. Introduction of co-solvent into the reaction mixture decreases the critical point of alcohol, increases the mutual solubility of the oil and alcohol at lower reaction temperatures and accelerates the reaction rate under supercritical alcohol conditions [11]. Normally methanol and ethanol are being used as alcohol to produce biodiesel. But longer chain alcohols like 1-butanol, 1-propanol and 1-octanol could also be used to produce biodiesel. The critical conditions of these alcohols are presented in Table 2.
\n\t\t\t\tAlcohol\n\t\t\t | \n\t\t\t\n\t\t\t\tCritical Temperature (oC)\n\t\t\t | \n\t\t\t\n\t\t\t\tCritical Pressure (bar)\n\t\t\t | \n\t\t
Methanol | \n\t\t\t240 | \n\t\t\t78.6 | \n\t\t
Ethanol | \n\t\t\t243 | \n\t\t\t63.1 | \n\t\t
1-Propanol | \n\t\t\t264 | \n\t\t\t50.3 | \n\t\t
1-Butanol | \n\t\t\t290 | \n\t\t\t43.5 | \n\t\t
1-Ocatanol | \n\t\t\t386 | \n\t\t\t26.5 | \n\t\t
Transesterification alcohols and their critical conditions
The major influencing factors on the yields of biodiesel are type of alcohol, reaction temperature, oil to alcohol ratio, reaction time and pressure. The critical temperatures increase with increase in chain length or molecular weight of the alcohol. At the same temperature, the acidity of longer chain alcohols tends to decrease resulting in slower reactivity or slightly more reaction time than the short chain alcohols. However the cold flow properties of the biodiesel produced with long chain alcohols are better than the biodiesel produced with short chain alcohols [12]. All these factors influence the selection of alcohol, as it affects both the economics and energetics of the process. The yield of biodiesel increases with the increase in reaction temperature above the critical conditions of the alcohols. Beyond the optimum temperature, the yield may start decreasing due to degradation of fatty acids at higher temperatures. Usually this also depends on the fatty acid profiles; as poly unsaturated fatty acids (PUFAs) are thermally unstable at higher temperatures. Feed stocks having more PUFAs may give higher yields at slightly lower temperatures than the feed stocks having less PUFAs [13]. The usual optimum reaction temperature ranges between 290-350oC, which also depending on the other reaction parameters.
\n\t\t\t\tFeed stock\n\t\t\t | \n\t\t\t\n\t\t\t\tFAME\n\t\t\t | \n\t\t\t\n\t\t\t\tFAEE\n\t\t\t | \n\t\t\t\n\t\t\t\tFABE\n\t\t\t | \n\t\t
Camelina oil [15] Reaction temperature: 310oC Oil to alcohol molar ratio: 1:40 | \n\t\t\tYield: 91% Reaction time:24 min. | \n\t\t\tYield: 85% Reaction time:28 min. | \n\t\t\tYield: 84% Reaction time:45 min. | \n\t\t
Rapeseed oil [12] temperature: 300oC Oil to alcohol molar ratio: 1:42 | \n\t\t\tYield: 99% Reaction time:15 min. | \n\t\t\tYield: 94% Reaction time:45 min. | \n\t\t\tYield: 86% Reaction time:45 min. | \n\t\t
Rapeseed oil [12] temperature: 350oC Oil to alcohol molar ratio: 1:42 | \n\t\t\tYield: 94% Reaction time:4 min. | \n\t\t\tYield: 94% Reaction time:10 min. | \n\t\t\tYield: 89% Reaction time:10 min. | \n\t\t
Variation in the yields of biodiesel with different alcohols
As mentioned earlier the long chain alcohols need higher reaction temperatures to get higher yields of biodiesel than the short chain alcohols. The molar ratios of oil to alcohol vary for different feed stocks with different alcohols. This usually ranges between 1:40-45 at optimum reaction temperature. A lower amount of alcohol negatively affects the yields as the reverse transesterification reaction tries to go backwards. On the other hand more alcohol also reduces the yields by changing the critical point of the mixture to higher temperatures, where the optimum temperature of the reaction is not sufficient to perform the forward reaction. This also imposes another economic barrier as this extra alcohol requires more energy to heat, and will need to be recycled after separation process [14]. Supercritical alcohol processing is very fast compared to conventional transesterification. The typical processing times of supercritical processes are 5-30 minutes depending upon the type of alcohol and reaction temperature. The reaction pressure also slightly increases the yield of biodiesel above its saturation pressure at a particular reaction temperature. But it is always a better option to use the lowest possible pressures; as high pressure demands more energy and capital investment. Variation in the yields of biodiesel and reaction times with respect to alcohol is shown in Table 3.
The catalytic hydrothermolysis (CH) is another process which produces regular hydrocarbon transportation fuels from oils or fats. The supercritical water performs the hydrolysis of vegetable oils to produce biocrude oil. This biocrude oil consists of a wide range of compounds such as straight chain, branched chain and cyclic hydrocarbons (alkanes, alkenes and aromatics etc.,) and their distribution varies depending upon the processing conditions and feed stock. An increase in temperature towards critical point the causes oils/fats become miscible with water around 300-330oC [16].
Catalytic hydrothermolysis process
During this process, triglycerides undergo hydrolysis reaction to form free fatty acids and glycerol. Compared to thermal cracking and pyrolysis, the formation of gaseous products will be reduced to the minimum in CH process. At higher temperatures, decarboxylation and cyclization reactions of fatty acids and glycerol produce alkanes, alkenes, carbon dioxide and water. The aqueous phase contains small amounts of smaller hydrocarbons and glycerol. Use of external catalyst such as KOH and NaOH enhances the production of alkanes. Use of metal oxide catalysts favors the production of alkenes. [17]. The biocrude oil produced during this process must be hydrotreated or reformed to meet commercial fuel standards. The upgrading process is discussed later in the chapter. Catalytic hydrothermolysis is performed to produce jet fuel and diesel range hydrocarbons. Oil and water are processed at 9:1 (vol. ratio) and between 450-475oC. The resulting biocrude is then upgraded with commercial nickel catalyst to produce jet fuel and diesel range hydrocarbons [18]. The schematic of the CH process is shown in Figure 3. The hydrogen utilization during the CH process can be reduced compared to direct catalytic cracking of oils. The fatty acid profile of feed stock, water to oil ratio, rate of heating and reaction pressure determines the final product properties.
The utilization of vegetable oils to produce biodiesel has resulted in stress on domestic markets and often disrupted the production capacities to lower levels of the operating plants [19]. Other feed stocks like waste cooking oil and animal fats are not sufficient to meet commercial demands and to make biofuels at profitable scales. Researchers identified microalgae as an alternative crop to produce oils in larger volumes, with smaller areas of land and in shorter periods of time. The active research on algae has started in the 1970s due to the oil crisis. Micro-algae are single cell plants which grow in most of the marine environments around the globe. They can be cultivated under autographic and heterotrophic conditions depending upon the species. Due to their faster photosynthesis they grow much faster and consume more CO2 when compared to oil producing energy crops. Algae can be harvested in cycles of 6-14 days depending on the strategies and cultivating conditions.
Microalgae are being cultivated in open race way ponds and in closed photo bioreactors. Open raceway ponds are much cheaper to operate, but very hard to control the conditions within the pond. Open ponds are more vulnerable the atmospheric conditions and other invading species which greatly effect both quantity and quality of algal biomass. On the other hand, photo bioreactors provide a very controlled environment which helps to produce biomass with better quality and quantity than open ponds. But operating costs of photo bioreactors are very high, prohibiting it for the use in biofuels production. Many research institutions and private corporations have developed the best suitable systems for their needs. After cultivation biomass can be harvested with techniques such as centrifugation, flocculation and hydro cyclones etc. The biomass content or water content in the biomass varies for different systems. The extraction of oil is the most energy intensive step in algal biofuels production. The drying step that occurs prior to the solvent extraction of oil consumes nearly 90MJ of energy which is nearly 85% of the total energy consumed to produce 1 kg of biodiesel. Techniques like Supercritical CO2 extraction, pyrolysis and gasification also need dry biomass. Due to this these methods are also not suitable for the production of biofuels with algal biomass. Biodiesel could be produced directly from the algal biomass by using supercritical alcohol transesterification process.
The direct conversion of wet algal biomass into biodiesel is demonstrated with Nannochloropsis sp. with supercritical methanol and ethanol as conversion media without using catalyst. The FAMEs and FAEEs can be produced with free fatty acids and triglycerides present in the algal biomass. As the temperature rises from normal room temperature to supercritical conditions, the reduced dielectric constant provides enhanced extraction capabilities to the alcohols to open/break the cell walls and to extract lipids. The cells structure disintegrates into small particles at higher temperatures due to enormous pressure, providing complete conversion of lipids into biodiesel. After reaching the critical points of the alcohols, the transesterification reaction takes place. At higher pressures the cell structure will be destroyed and provides more access to the lipids for transesterification reaction. The cell structures of the biomass before and after conversion are presented in Figure 3. The algal cells containing large globules of lipids (indicated by arrows) along with other cellular organelles (Figure 3a) are completely destroyed and disintegrated (figure 3b) into a network of pieces [20].
TEM images of algal cells before (a) and after (b) in supercritical ethanol conversion
The major influencing parameters of the direct conversion are reaction temperature, algae to alcohol ratio (wt.:vol.) and reaction time. The optimum reaction conditions for both methanol and ethanol are presented in Table 4. The algal biomass used in the experiments has 50% (supercritical methanol) and 52% (supercritical ethanol) of total lipids on ash free dry weight basis. As the temperature increases the extraction takes place below critical point, and transesterification starts from critical point. The maximum yields observed are 84% and 67% at 255oC and 265oC respectively. The short chain containing methanol has produced more biodiesel than ethanol similar to the vegetable oil transesterification. Same amount of alcohol may have been another reason for the lower yields with ethanol. When compared to the supercritical alcohol transesterification of vegetable oils and fats, the reaction temperatures of the direct conversion methods of algae are very low. This is due to the difference in fatty acid profile of algal biomass. The algal biomass used in these studies has more unsaturated (~40-45%) and polyunsaturated fatty acids (PUFAs) (~10%); which are thermally unstable and causes the reduction of biodiesel yields at higher temperatures. The decomposition of PUFAs was observed at higher temperatures above the optimum reaction temperature in both studies [21, 22].
\n\t\t\t\tAlgal biomass:\n\t\t\t\t \n\t\t\t\t\n\t\t\t\t\tNannochloropsis sp.\n\t\t\t\t\n\t\t\t | \n\t\t\t\n\t\t\t\tYield (on the basis of total lipids)\n\t\t\t | \n\t\t\t\n\t\t\t\tReaction temperature (oC)\n\t\t\t | \n\t\t\t\n\t\t\t\tAlgae to alcohol ratio (wt./vol.)\n\t\t\t | \n\t\t\t\n\t\t\t\tReaction time (min.)\n\t\t\t | \n\t\t
FAME (methanol)[22] | \n\t\t\t84% | \n\t\t\t255 | \n\t\t\t1:9 | \n\t\t\t25 | \n\t\t
FAEE (ethanol)[21] | \n\t\t\t67% | \n\t\t\t265 | \n\t\t\t1:9 | \n\t\t\t20 | \n\t\t
Reaction conditions for maximum yields of biodiesel with algal biomass
When compared to biodiesel production using vegetable oils by supercritical alcohol process, nearly 2-3 times more alcohol is needed for algal biomass conversion. More energy is required for the separation of the extra alcohol, making the process more energy intensive. The production of biodiesel directly from the wet algal biomass is possible; but supercritical processing of expensive feedstock like algae demands complex infrastructure and higher energy, making production of biofuels less profitable. During this process valuable byproducts like polyunsaturated fatty acid ethyl esters are lost in order to maintain the fuel properties.
Recently, many researchers have identified, and studied the importance of byproducts in the production of algal biofuels. Algae are being used to produce various kinds of natural products like protein, polyunsaturated fatty acids (PUFAs), vitamins, carbohydrates, and dietary fibers. Extraction and separation of these compounds is a key factor for the commercialization of algal biofuels [23, 24]. The recovery of these valuable products cannot be achieved using direct conversion methods due to severe processing conditions and degradation of these compounds. New novel methods called hydrothermal extraction and liquefaction (HT E&L) or subcritical water extraction or liquefaction can be used for the recovery of valuable products along with energy dense biocrude oil, and bio-char from wet algal biomass. Water attains these selective extraction and liquefaction properties due to increased temperature and pressure. The dielectric constant of water reduces slowly with increasing temperatures, which provides more solvating power to the water. This solvating power varies with the process parameters which include temperature, pressure, solids loading and extraction time. This technique has been used for many selective extraction applications such as bioactive components from Haematococcus pluvialis microalga[25], nutraceutical compounds from citrus pomaces[26], and oils from coriander seeds[27]. Typical extraction temperature will vary between 120-250oC, and changes along with pressure variation for a particular target compound. Another major advantage of this method is higher extraction efficiencies can be achieved when compared to conventional solvent extraction.
Similar to the above given examples, lipids from wet algal biomass can be extracted. In this process water present in the harvested algal biomass itself acts as the solvent; which also eliminates the drying step in the process and achieves maximum extraction of oil. This selective extraction of lipids is demonstrated with the wet algal biomass of nannochloropsis salina. The reaction temperature, solids (biomass) loading and reaction time are studied to extract the maximal amount of lipids from the biomass. The RSM (response surface methodology) analysis of extraction results indicated that the increase in temperature causes increase in the yield of crude extract and lipids with in the crude extract up to 217oC. Due to increased solvating power or reduced dielectric constant; further rise in temperature caused a reduction in crude extract due to secondary reactions which caused redistribution of crude extract into other product fractions like the water phase or gas phase. The biomass loading is another crucial parameter which affects the extraction efficiency. The amount of crude extract is increased with more diluted biomass and a maximum is found to be at 5%; meaning less biomass loading provides more solvent for the extraction of target compounds. But at the same time the energy consumption should also be considered; more water in the biomass requires more energy to reach the target processing conditions. Due to this, optimum biomass loading was increased to 7.5%, which slightly affects the extraction efficiency. The reaction time was found to be very when compared large to solvent extraction techniques, and maximum extraction was achieved within 25 min. Through this subcritical water extraction method nearly 60-70% of the lipids present in the algal biomass can be extracted. Along with the lipids, the water fraction contains sugars, sugar alcohols, and PUFAs in algae oil which have commercial value in the pharmaceutical and food industry; Additionally the bio-char contains proteins (~45% by wt.) and 24.9 MJ/kg of energy making it another valuable byproduct [28]. The biodiesel produced with subcritical water extraction with thermal energy recovery (60%) and utilization of bio-char to produce biogas (methane) consumes only 28.23 MJ of energy for 1kg biodiesel [29]. The process can be used only for algal biomass which has more lipids and for the production of biodiesel. In order to produce biofuels from algal biomass having fewer lipids, higher hydrothermal processing conditions should be used.
Further increase in temperature of the hydrothermal extraction process, results in hydrothermal liquefaction due to the enhanced reaction capabilities of water. The density of water decreases as the temperature and pressure rise towards the critical point and drops drastically after the critical point; here water medium attains gas like densities and liquid like solvent properties. The ability of water in these conditions to provide H+ or OH- ions (varying ion product (Kw) of water) is useful in performing acid or base catalyzed reactions without using external catalysts [30-32]. During the hydrothermal liquefaction, the macromolecules present in the biomass are subjected to hydrolysis, which degrades them into smaller molecules. During this process, the oxygen present in the biomass will be removed by dehydration in the form of water, and by decarboxylation in the form of carbon dioxide. During the liquefaction process energy dense biocrude oil, aqueous phase with water soluble compounds, bio-char and gaseous product will be produced [31, 33]. The subsequent intermediate reactions of the hydrolyzed or extracted compounds determine the yields of product fractions, which are influenced by processing conditions.
Numerous studies on hydrothermal liquefaction of algae are available in literature. Few examples of these studies are hydrothermal liquefaction of algal biomass nannochloropsis sp., [34], chaetomorpha linum[35], chlorella pyrenoidosa[36], or spirulina plantesis[37]. The typical processing temperature used for hydrothermal liquefaction ranges between 250-370oC. The yields and properties of the products vary with reaction temperature. The yield of energy dense biocrude oil increases with rise in temperature up to 350oC. Lower yields can be observed at lower temperatures due to a decrease in hydrolysis of the biochemical compounds and repolymerization. Above 350oC, hydrothermal gasification becomes more dominant and contributes to the production of more gaseous products rather than biocrude oil. The typical yields of biocrude oil yields range between 20-60% on the ash free dry weight basis (AFDW). As the temperature rises the water becomes more reactive than an extraction solvent due to its increased ion dissociation constant. The ion dissociation constant at 250oC is 1000 times greater than at the room temperature [38]. Because more protons and hydroxide ions present in these conditions hydrolysis becomes more active reaction. The hydrolysis reaction causes the degradation of basic chemical compounds, and when accompanied by reactions like repolymerization produces bio-crude oil. The yields differ with process conditions, and biochemical composition of the algal biomass. The contribution of lipids, proteins and carbohydrates to the yield of biocrude oil yield are in the order of lipids>proteins>carbohydrates [39]. The biocrude oil yields of commonly used algal biomass are presented in Table 5. The high heating value (H.H.V) of biocrude oil varies in the range of 32-39 MJ/kg. The reaction temperature greatly affects the quality of biocrude oil. At lower processing temperature, lipids contribute more to the yield of biocrude oil which contains more energy or higher H.H.V. At higher temperatures, due to the contribution of protein derived compounds and increased nitrogen in biocrude oil the H.H.Vs of biocrude oil reduce to lower levels. The variation reaction pressure beyond saturation has little to no effect on the product distribution in HTL of algae [36]. Even though most of the studies have used residence times between 20-120 minutes in batch (reactor) mode operation, 2-5 min. of reaction time is sufficient to get better biocrude oil yields in a continuous flow system [40].
\n\t\t\t\tAlgal Biomass\n\t\t\t | \n\t\t\t\n\t\t\t\tBiochemical composition\n\t\t\t | \n\t\t\t\n\t\t\t\tReaction conditions\n\t\t\t | \n\t\t\t\n\t\t\t\tBiocrude yield\n\t\t\t\t \n\t\t\t\t(% of AFDW)\n\t\t\t | \n\t\t||
Lipids | \n\t\t\tProtein | \n\t\t\tCarbohydrates | \n\t\t\tTemperature, solids loading and Reaction time | \n\t\t||
\n\t\t\t\tChlorella sp.[40] | \n\t\t\t4 | \n\t\t\t60 | \n\t\t\t25 | \n\t\t\t350oC, 10% and 3 min. | \n\t\t\t42 | \n\t\t
\n\t\t\t\tChlorella sp. [41] | \n\t\t\t60 | \n\t\t\t9 | \n\t\t\t13 | \n\t\t\t300oC, 20% and 90 min. | \n\t\t\t66 | \n\t\t
\n\t\t\t\tNannochloropsis sp. [41] | \n\t\t\t14 | \n\t\t\t52.4 | \n\t\t\t5 | \n\t\t\t300oC, 15% and 60 min. | \n\t\t\t48.4 | \n\t\t
\n\t\t\t\tNannochloropsis salina [42] | \n\t\t\t12 | \n\t\t\t37 | \n\t\t\t33 | \n\t\t\t310oC, 25% and 30 min. | \n\t\t\t46 | \n\t\t
\n\t\t\t\tSpirulina platensis [42] | \n\t\t\t6 | \n\t\t\t60 | \n\t\t\t19 | \n\t\t\t350oC, 25% and 30 min. | \n\t\t\t38 | \n\t\t
\n\t\t\t\tNannochloropsis sp. [34] | \n\t\t\t14 | \n\t\t\t59 | \n\t\t\t20 | \n\t\t\t300oC, and 10 min. | \n\t\t\t50 | \n\t\t
\n\t\t\t\tNannochloropsis sp. [43] | \n\t\t\t28 | \n\t\t\t52 | \n\t\t\t12 | \n\t\t\t350oC, 21% and 60 min. | \n\t\t\t43 | \n\t\t
\n\t\t\t\tSpirulina platensis [44] | \n\t\t\t11 | \n\t\t\t49 | \n\t\t\t31 | \n\t\t\t350oC, 20% and 60 min. | \n\t\t\t39 | \n\t\t
\n\t\t\t\tScenedesmus sp.[45] | \n\t\t\t13 | \n\t\t\t56 | \n\t\t\t25 | \n\t\t\t300oC, 20% and 30 min. | \n\t\t\t45 | \n\t\t
\n\t\t\t\tSpirulina sp.[45] | \n\t\t\t5 | \n\t\t\t64 | \n\t\t\t20 | \n\t\t\t300oC, 20% and 30 min. | \n\t\t\t31 | \n\t\t
\n\t\t\t\tDunaliella tertiolecta [46] | \n\t\t\t20 | \n\t\t\t63 | \n\t\t\t15 | \n\t\t\t340oC, and 5 min. | \n\t\t\t41 | \n\t\t
\n\t\t\t\tDunaliella tertiolecta [47] | \n\t\t\t22 | \n\t\t\t24 | \n\t\t\t46 | \n\t\t\t300oC, 10% and 60 min. | \n\t\t\t30 | \n\t\t
\n\t\t\t\tChlorella sorokiniana [47] | \n\t\t\t4 | \n\t\t\t30 | \n\t\t\t54 | \n\t\t\t300oC, 10% and 60 min. | \n\t\t\t18 | \n\t\t
Yields of biocrude oil produced with various strains of algal biomass
The other product fractions are bio-char, aqueous phase and gaseous fraction. The bio-char yield decreases with an increase in temperatures, as the metabolites of the biomass converts into other products. The range of bio-char yields can be found between 10-70% depending on the processing temperature and time. Bio-char produced at lower temperatures tend to have higher H.H.V due to hydrothermal carbonization. The H.H.V of bio-char can be around 18-22 MJ/kg at lower temperatures and reduces to 8-10 MJ/kg at higher processing temperatures above 300oC. Due to extraction or conversion of biochemical compounds present in the biomass at higher temperatures, H.H.Vs of the bio-char are reduced compared to the H.H.V of the original biomass and bio-char produced at lower temperatures [20].
The aqueous phase of the HTL is another valuable product fraction which contains essential nutrients (NH3-N and PO43-), amino acids and carbohydrates depending on the processing temperature. The hydrolysis of proteins results in the formation of amino acids, and the deamination (further hydrolysis) of these amino acids produces the ammoniacal nitrogen. Usually the amount of ammoniacal nitrogen increases with an increase in temperature, because the amino acids decompose rapidly at higher temperatures. At the same time, the concentration of amino acids decreases due to rapid conversion with an increase in HTL temperatures. The other valuable nutrient phosphate behaves in a different way; the amount of phosphate in water phase decreases with an increase in temperature and deposits in the bio-char fraction. The concentrations of these nutrients can be as low as 400 ppm for NH3-N, 6 ppm for PO43- and as high as 6300 ppm for NH3-N, 3000 ppm for PO43-. However, these concentrations vary greatly with the biochemical composition of the biomass and the processing temperature [20, 48, 49]. Recycling these nutrients back to cultivation is a very crucial step as it can save of fresh on addition nutrient supply and reduce overall cost. Along with the nutrients, the aqueous phase also contains valuable carbohydrates including polysaccharides, monosaccharides, sugar alcohols, amino acids and glycerol. At milder temperatures most of the carbohydrates present in the algal biomass are extracted into the aqueous phase. With an increase in HTL temperature, these polysaccharides hydrolyze to yield simple sugars and derivative compounds. At higher processing temperatures these compounds start degrading or converting into other product fractions due to secondary and tertiary reactions. A Typical optimum point for the extraction of polysaccharides is around 160oC [50]. Similar to the extraction of lipids, polysaccharides from algal biomass can be extracted at lower temperatures, and the remaining biomass can be used to produce biocrude oil. The recoverable quantity of polysaccharides and biocrude oil depends on the original biochemical compositions of the biomass.
Algal biorefinery with HTL process
As mentioned earlier, separation and recovery of these valuable amino acids, nutrients, and carbohydrates is vital for the production of algal biofuels. This concept of algal bio refinery with sequential HTL (SEHTL) or hydrothermal extraction and liquefaction (HT E&L) is shown in Figure 4. The processing strategies for each strain of biomass vary as they possess different biochemical composition. The separation of these compounds provides a much needed economic life line and also improves the quality of biocrude oil. The removal of amino acids and nitrogen based compounds at lower temperatures reduces the quantity of nitrogen in the biocrude oil produced in the second step. When compared to cellulosic ethanol production, HTL of algal biomass has better energy return on investment (EROI) and lower emissions can be achieved [41].
The biocrude oil produced in the HTL process contains nitrogen (4-9 wt.%) and oxygen (2-7wt.%). The biocrude oil produced with oils/fats in the CH process is easy to upgrade compared to biocrude oils produced with algae due to the absence of nitrogenous compounds. Due to the presence of nitrogen and oxygen, processing the biocrude oil becomes slightly complex. Two strategies can be followed to produce hydrocarbon fuels from biocrude oil. The first one is, co-processing the biocrude in existing petroleum refineries by diluting the crude petroleum up to the permissible levels of nitrogen and oxygen. The second option is direct processing of biocrude oil with suitable catalysts. These catalysts include metal oxides of Ni, Co, Mo, Pt and W supported on γ-Al2O3, SiO2, zeolites and carbon. Commercialization of these catalysts for processing biocrude oil may take some more time. More research and development is needed to optimize both the HTL of algal biomass and suitable catalysts for biocrude oils with varying properties. Compared to conventional jet fuel, the biojet fuel produced from algal biomass with HTL and upgrading can reduce life cycle greenhouse gas emissions by 76% [51].
The sub and supercritical processing methods seems promising for the production of renewable transportation fuels from various feed stocks. Supercritical alcohol processing provides much better path to produce biodiesel from cheap feed stocks such as animal fats and waste cooking oils. These feed stocks need very intensive pretreatments to produce biodiesel through catalytic transesterification. They can be directly processed using the supercritical alcohol method. At the same time the price of feed stock also plays a vital role to determining the sustainability of this process. Catalytic hydrothermolysis is being used by many corporate companies to demonstrate the possibility of producing high grade jet fuels and naval distillates. This technology is ready to deploy during certain critical political or environmental scenarios. Hydrothermal extraction and liquefaction is acquiring more interest in the research domain due to its ability to produce a wide variety of products. HT E & L processes are identified as the best possible techniques for the production of biofuels from algal biofuels. The current research is more focused on cultivation and recovery of byproducts from algal biomass though sequential HTL. The algae biofuel research is still in the research and development stage and may take a couple of years to be commercialized.
Within the recent decades, an explosion of researches and developments referring to the next-generation communication networks known as 5G New Radio (NR) has been observed [1, 2, 3, 4, 5]. Based on 4G long-term evolution (LTE) progress [6], 5G NR is in principle a novel stage of unprecedented technological innovation with ubiquitous speed connectivity. As a result, it is expected that 5G NR will radically transform a number of industries and will provide direct, superspeed connections between any users, sensors, and devices.
At the present time, several reviews to analyze significant changes in the 5G NR approaches as compared to the existing 4G LTE networks have been published [7, 8] denoting a series of milestones. Among them, much attention is paid to radically expanding the available spectral bands up to millimeter wavelengths (MMW). Following this tendency, currently, the local telecommunication commissions of various countries are proposing and harmonizing the plans of frequency allocation in microwave band that has to be coexistent with 4G LTE and in newer MMW band, which will be reviewed this year at the World Radio Conference (WRC-2019) [9]. However, Figure 1 shows a preliminary frequency plan [10] sharing two separate sub-bands: the so-called low range (LR) inside 1–6 GHz and the high range (HR) inside 24–86 GHz.
Planned 5G NR spectrum allocations [10].
Another milestone of great importance is the development of access networks. In this direction, the well-known radio-over-fiber (RoF) technology [11, 12, 13] is considered as the most promising approach, which is implemented based on fiber-wireless (FiWi) architecture.
Following them, recently we contributed some works referred to design microwave-photonic-based MMW FiWi interface [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]. Elaborating the direction, in this chapter we review the worldwide progress of RoF-architected 5G NR access networks and highlight our last simulation results on design and optimization of photonic-based FiWi interface. In this way, the rest of the chapter is organized as follows. Section 2 reviews the distinctive features of access networks for 5G NR mobile communication systems including small cell scenario, RoF concept, and microwave-photonic-based approach to construct the network equipment. A specific example illustrating a RoF-based small cell scenario in 5G NR network is also included. In addition, Section 3 presents the results of our recent investigations to design optimally a fiber-wireless fronthaul network (FWFN) including an optical distribution network (ODN) and MMW fiber-wireless interface (FWI). All schemes are modeled using off-the-shelf VPIphotonics Design Suite software tool. Finally, Section 4 concludes the chapter.
Generally, low transmission loss and broad bandwidth characteristics of optical fibers, possibility of wavelength division multiplexing, and low sensitivity to electromagnetic interference of optical fiber-based transmission systems allow the introduction of novel concepts into distribution and processing of the digital signals being transmitted over a communication network. One of the most important examples of introducing radically new approaches is the upcoming mobile network 5G NR. According to the Introduction, a number of new principles are introduced in 5G NR network design. Three of the most suitable for access networks will be discussed below.
In the last decade, the problem of developing and optimizing the architecture of the fifth-generation communication networks and developing equipment for their implementation has received the closest attention of the global telecom community [6]. It is predicted that the implementation of these next-generation networks will provide unprecedented amounts of data and services for mobile and fixed users, which can be called both an evolution and a revolution in mobile cell technologies [1]. They are architectural in nature—for example, moving some decision-making to the devices themselves (device-centric architectures and smart devices)—or most networks are hardware-oriented. Besides, continuously increasing requirements for broadband services and capacity of communication links by enhancing the data transfer rate in all sections of the cellular network led to the shift of the operating frequency to millimeter-wave band, with a total cell capacity of several gigabits per second. One of the keys of them is ultra-densification of service areas and users. The data obtained from the analysis of a large number of publications, on the quantitative parametric comparison for mobile communication networks of the available fourth and incoming fifth generations, are presented in Table 1.
Parameter | 4G LTE | 5G NR |
---|---|---|
Connection density (per km2) | Less 200 K | Up to 1 M |
End-to-end latency (ms) | >50 | <1 |
User mobility (km/h) | Up to 80 | Up to 500 |
Peak data rate in cell (Gbit/s) | <1 | >20 |
Traffic volume density (Tbit/s/km2) | <1 | Up to 10 s |
User experienced data rate (Gbit/s) | <0.1 | Up to 1 |
A comparison of the key parameters achieved in the 4G LTE mobile networks with similar parameters to be achieved in the 5G NR networks.
To ensure so sharp explosion of the key parameters, a significant complication of the standard cellular network structure is required. Thus, according to the generally accepted opinion, the ambitious goals for the development of fifth-generation wireless networks can be achieved by solving two advanced global tasks: architectural one, associated with the small cell scenario for access network, and the technological one, associated with the introduction of microwave-photonic (MWP) approach to the design of the network equipment. The further is connected with the introduction of the fronthauls based on FiWi architecture. The latter is especially important for interface network units, both between the fiber-optic backhaul network and fronthaul networks, whose task is to transfer high-speed data stream to millimeter-wave carriers, and between wired and wireless sections of the access network, in which the signals of the optical and millimeter-wave bands should be cost-efficiently converted. As an example of implementing small cell scenario concept, an advanced skeleton diagram of 5G NR network using a common central station (CS), fiber backhauls, and FiWi fronthauls is shown in Figure 2.
Skeleton diagram for 5G NR cellular communication network.
Analyzing the parameters of Table 1, one can make the following clear conclusion. More than an order of magnitude increased requirements to throughput make fiber-optic communication system as a leading technology not only for transport networks but also for next-generation access networks. However, the important drawback for the implementation of the latter ones is the complexity and high cost associated with the need to lay the optical cables up to user terminals. In contrast, current wireless access networks that provide a flexible connection with a relatively simple infrastructure cannot meet growing in geometric progression demands to increase the capacity of mobile communication systems. The most promising technique to meet it, which is actively discussed in the referred publications, is to implement radio-over-fiber (RoF) network concept with FiWi architecture and to expend the operating frequency band up to millimeter waves (MMW) applying multi-position digital modulation on a radio-frequency (RF) carrier [25, 26].
Figure 3 shows a typical configuration of a RoF-based communication network including central station (CS) and set of remote (base) stations (RS), which are a key element of a RoF-based fiber-wireless fronthaul network (FWFN) that interactively (using downlink and uplink) connects the CS and each RS using fiber fronthaul links (FFL) and microwave or millimeter-wave band user radio terminals (UT). As is known, for the transmission of signals through a FFL, direct and inverse electro-optical conversions are required. The first one in the RoF-based communication system is usually performed with the help of an external electro-optical modulator (EOM) and the second with a photodetector.
A conceptual diagram of a RoF-based mobile communication network.
In the framework of RoF concept, combining MMW band and FiWi network architecture inside FWFN is one of the promising ways to deliver intensive digital traffic with seamless convergence between wired optical backhaul and fiber-wireless fronthaul. In addition, FiWi technique allows converting directly a lightwave spectrum to MMW radio spectrum using a simple microwave-photonic-based up−/down-conversion scheme, which is important to keep the remote cells flexible, cost-effective, and power-efficient. Figure 4 exemplifies a MMW-band FiWi architecture, in which CS is interactively connected with pico-cell’s RSs through fiber-optic link. A typical position of RS is in the center of the service area; that is, for omnidirectional covering, four phased array antennas (PAAs) with an azimuth of 90° would be an optimal decision [16].
A conceptual diagram of a RoF-based MMW fiber-wireless fronthaul network.
Let us illustrate small cell scenario using an example of building a backhaul network in a specific medium-scale city. Figure 5 depicts 5G’s backhaul fiber-optic network consisting of one macro-cell with service diameter of 5.3 km, inside of which 24 micro-cells of service diameter near 1 km are located. The red line marks the boundaries of the city.
5G’s backhaul fiber-optic network of a medium-scale city.
Introducing a smaller partition, Figure 6 shows a typical micro-cell diagram containing 33 pico-cells with a 200-m service diameter. In the center of each pico-cell, a remote station (RS) is located (see Figure 3), which is an interface between fiber and wireless network sections. A bold dot indicates it. All RSs are interactively interconnected via fiber-optic lines, forming a communication structure of the type “fully connected network.”
Conceptual diagram of pico-cells inside one micro-cell.
Microwave photonics (MWP) is a multidisciplinary research and industrial field encompassing optical, microwave and radio frequency (RF), and electrical researchers and engineers ([5, 20, 21, 26] and refs. cited there). This field in the last 30 years has attracted immense interest and generated many new R&Ds from both the scientific community and the commercial sector. Emerging applications for mobile communication network of FiWi architecture, sub-terahertz wireless systems, radar, and electronic warfare systems indicate that MWP is a subject of importance. By common opinion, MWP opens the way to superwide bandwidth characteristics at lower size, weight, and power as compared with traditional means [11]. For example, Figure 7 depicts typical arrangements of MWP-based software-defined RF receiving (a) and transmitting (b) units. As it follows, a photonic circuit is inserted between two microwave electronic chains. For direct and inverse transformations of microwave and optical signals, there are two interfacing units at their bounds: electrical-to-optical (E/O) and optical-to-electrical (O/E) converters. Between the interfaces, there are various photonic processing units for switching, distribution, filtration, time delaying, and up/down frequency conversion of microwave signals in optical domain.
A typical arrangement of MWP-based RF receiver (a) and transmitter (b).
To implement effective radio communication within small cell scenario, a number of leading countries developed a prospective spectrum including MMW bands up to 100 GHz (see Figure 1). As shown in numerous studies, MMW 5G network infrastructure must be shared with a lot of small service zones controlled by the corresponding RS. In order to avoid inter-interference in these zones, one of the feasible approaches is to provide the RS with beam-steerable PAAs [16].
Generally, to form directional beams for transmission and receiving signals from adjacent UTs and RSs, MMW RS must use PAA with hundreds of antenna elements. In addition, FiWi technique allows converting directly a lightwave spectrum to MMW radio spectrum using a simple MWP-based up-conversion scheme [16], which is important to keep the remote cells flexible, cost-effective, and power-efficient and support seamless FWFN.
In general, the fronthaul network of FiWi architecture represents the further development of cellular communication networks. The peculiarity of construction in comparison with the traditional system of cellular communication is in a much smaller area of cells down to pico-cells for mobile UTs with service diameter not more than 200 m and to femto-cells for indoor distribution with service diameter from tens of centimeters to 20–50 m. Due to the relatively small number of UTs inside the cell, it is critical to reduce cost of RS equipment, in fact, representing an effective interface between the optical and RF sections of the transmission system. The most promising solution to this problem is the ultimate simplification of the RS layout, which could be done by shifting all the processing procedures to the CS. If someone analyzes the diagram of Figure 4 addressed to FWFN, from the functional viewpoint, two sub-systems are liberated that consist of optical distribution network (ODN) including CS hardware and fiber-optic link (FOL) and fiber-wireless interface (FWI) including a RS hardware and the same FOL. The proposed design principle is clearly illustrated in Figure 8.
The design principle of fiber-wireless fronthaul network.
The key advantages of the FiWi architecture for the communication networks are the following [1, 2, 3, 4, 7]:
Higher noise immunity, since data streams are mainly delivered through FOLs
Small attenuation of signal power in fiber-based transmission path due to the fact that the losses in the fiber-optic cable are four orders of magnitude smaller than in the coaxial one
Relative simplicity of implementation and deployment at site by applying a remote base station concept that can service a significant number of wireless UTs
A lower cost of construction and operation that simplifies the structure and reduces the power consumption of RSs due to using in the access networks the principle of transmission of digital streams on the carriers of the RF band
Great future-proof design due to the fact that the ultra-wideband fiber-optic communication links guarantee minimal additional capital investments to upgrade the network throughput
Based on the benefits noted above, the next subsections review the principles, features, and ways to advance design of fifth-generation RoF-based access network using FiWi architecture.
As follows from the above discussion, the key function of the CS is the efficient electro-optical conversion. In this way, below we check by the simulation a CS for a RoF-based mobile network so to determine a feasible modulation method and the device for its realization when using optical transmission of multi-position quadrature amplitude modulation (QAM) of RF signals over FFL under investigation. Specifically, below we examine comparatively two key methods of optical modulation:
Direct intensity modulation (DIM) for injection current of distributed feedback (DFB) laser or long-wavelength vertical cavity surface-emitting laser (LW-VCSEL). Hereinafter abbreviated as DIM-DFB or DIM-VCSEL, correspondingly.
External intensity modulation (EIM) using electro-absorption modulator (EAM) or Mach-Zehnder modulator (MZM). Hereinafter abbreviated as EIM-EAM or EIM-MZM, correspondingly.
It should be noted that the key shortcomings of a DFB laser as compared to a LW-VCSEL are higher power consumption and substantially narrower band of modulation [27]. On the contrary, the main preferences in terms of a signal transferring over an optical fiber consist in a smaller linewidth and a parasitic frequency modulation (chirp), which should lead to a significant extension in the permissible length of the FFL in the case of transmitting QAM signals. The quality is analyzed in terms of error vector magnitude (EVM) limit provided that the bottom of EVM value determined by the European Telecommunications Standard Institute (ETSI) corresponds to 8% for 64-QAM [28]. In all cases, the same 64-position QAM signal at the RF carrier in LR or HR (see Figure 1) will propagate over FFL.
We used the well-known commercial software VPIphotonics Design Suite™ as a tool for all computer simulation. Two key distortion sources are taken into account during the simulation procedure: a chirp of the lasers and modulators and a chromatic dispersion of the fiber. Table 2 lists the common reference data for the FFL under study. In addition, Tables 3 and 4 list the reference data for direct and external intensity modulation, correspondingly.
Parameter | Value | |
---|---|---|
Length of pseudorandom bit sequence | 215–1 | |
Bit rate | 2.5 Gbit/s | |
RF carrier frequency | 1.8–10, 15, 40 GHz | |
Input RF power | −10 to −20 dBm | |
Type of RF modulation | 64-QAM | |
Optical carrier | C-band (1552.52 nm) | |
Optical modulation | Intensity | |
PIN photodiode | Responsivity | 0.9 A/W |
Dark current | 100 nA | |
3 dB bandwidth | 50 GHz | |
Optical input power | <3 mW | |
Post-amplifier | Gain | 30 dB |
Noise spectral density | 20 × 10−12 A/Hz1/2 | |
Optical fiber | Type | SMF-28e+ |
Length | Up to 70 km | |
Attenuation | 0.2 dB/km | |
Dispersion | 17e−6 s/m2 | |
Dispersion slope | 80 s/m3 |
Common reference data for the FFL under study.
Parameter | DFB | LW-VCSEL | ||
---|---|---|---|---|
Value | Reference | Value | Reference | |
Operating current | 60 mA | — | 9 mA | — |
Linewidth | 300 kHz | [29] | 4.5 MHz | [27] |
Relative intensity noise | −150 dB/Hz | — | −160 | [27] |
Threshold current | 8 mA | [29] | 2.5 mA | [27] |
Slope efficiency | 0.15 W/A | — | 0.23 W/A | [27] |
Linewidth enhancement factor (α) | 4.6 | [30] | 7.0 | [31] |
Adiabatic chirp factor (k) | 3.2 GHz/mW | [30] | 10 GHz/mW (at 1 GHz) | [31] |
Reference data for direct intensity modulation.
Figure 9 demonstrates VPIphotonics Design Suite’s direct intensity-modulated FFL model and setup that contain the library models of DFB laser or LW-VCSEL, standard single-mode optical fiber (SMOF), and pin photodiode followed by the RF amplifier model. Their relevant parameters are in Tables 2 and 3. Besides, the setup includes the library model of DC source to control the DC bias current of a laser. Finally, two instrumental library models are in the figure. The first one represents 2.5 Gbit/s, 64-QAM RF transmitter containing library model of QAM generator and output unit for power control. This module generates an electrical M-QAM signal up-converted at a desired frequency of the RF carrier. In addition, the second one represents electrical 64-QAM receiver. The module detects RF signal, decodes QAM signal, and evaluates the EVM of the QAM signal that has been transmitted. For two-dimensional graphical representation of the data from the QAM receiver output, the model of numerical 2D analyzer is exploited.
VPIphotonics design suite’s setup for a FFL with direct intensity modulation of QAM signals.
Figure 10 demonstrates VPIphotonics Design Suite’s external intensity-modulated FFL model and setup that contain the library models of EAM or MZM optically injected by C-band DFB laser. Their relevant parameters are in Table 4. Everything else in the figure coincides with the layout of Figure 9. Note that in the layout of Figure 10, the same DFB laser model as for direct intensity modulation is used, and its parameters are the same as in Table 3 except the linewidth enhancement factor and the adiabatic chirp factor that are equal to zero.
VPIphotonics design suite’s setup for a FFL with external intensity modulation of QAM signals.
Figure 11 depicts the examples of simulating EVM vs. fiber length characteristics for all devices under study when transmitting QAM-modulated 1.8-GHz RF carrier. The figure also illustrates constellation diagrams at EVM = 2% for all devices and at EVM = 5.7% for EIM-EAM. As it follows, MZM-based external modulation has the best values of EVM. Somewhat worse EVM characteristics are obtained by modulation using EIM-EAM and DIM-DFB, and the largest values of EVM are provided by the direct modulation using LW-VCSEL, which coincides with the known data [30, 36].
Examples of simulating EVM vs. fiber length characteristics.
Studying the optical transmission of QAM signals at higher frequencies of the RF carrier using the FFL models of Figures 9 and 10, we found an interesting effect that was observed only in the case of direct modulation using a LW-VCSEL (Figure 12). This effect consists in decreasing the steepness of the distance characteristic of EVM with increasing RF carrier frequency, while the similar characteristics for the other devices under study remained the same as in Figure 11. The most probable reason for this atypical behavior is explained by the inverse frequency dependence of the magnitude and phase of the adiabatic chirp factor for LW-VCSEL [31].
DIM-VCSEL’s EVM vs. fiber length characteristics at the various frequencies of RF carrier.
Some outcomes can be derived from the above analysis of the FFL under investigation:
The allowable distance, when the standard EVM value during transmission of 64-QAM signal does not exceed 8% [28], is up to 62 km for an EIM-MZM, up to 58 km for an EIM-EAM, up to 55 km for a DIM-DFB, and up to 33 km for a DIM-VCSEL for the RF carrier of 1.8 GHz.
At higher RF carrier frequencies up to 10 GHz, an atypical effect was detected for the direct modulation using a LW-VCSEL, which consists in a drop in the slope of the EVM values with frequency increasing that is most likely explained by the presence of inverse frequency dependence of the adiabatic chirp factor’s magnitude and phase.
Leveraging the study, below the results of the simulation experiment by the same computer tool imitating transmission of quadrature amplitude-modulated RF signals of 40 GHz (HR of Figure 1) or 15 GHz (IF band) through a FFL-connected CS and RS are discussed. Because the direct modulation bandwidth of modern laser sources does not exceed 10–15 GHz, this experiment is performed only for a circuit with external modulation using three types of EOMs: double-sideband MZM (DSB MZM), carrier-suppressed single-sideband MZM (CS-SSB MZM), and EAM. Table 5 lists the reference data for the modulators under test.
Parameter | DSB MZM | CS-SSB MZM | EAM |
---|---|---|---|
Optical insertion loss | 4 dB | 6 dB | 3 dB |
Optical extinction ratio | 20 dB | 20 dB | 14 dB |
Slope efficiency | — | — | 0.14 W/V |
RF π-bias voltage | 5.5 V | 7.5 V | — |
Electro-optical bandwidth | 40 GHz | 40 GHz | 40 GHz |
Linewidth enhancement factor (α) | 0 (X-cut) | 0 (X-cut) | 1.0 |
Reference data for the modulators under test.
The remaining data correspond to Table 2 except for the number of modulation positions (16-QAM instead of 64-QAM) and data rates (1.25 Gbit/s instead of 2.5 Gbit/s), which are selected from the point of view of practical work in the MMW band. The VPIphotonics Design Suite’s setup of the simulation experiment corresponds to Figure 10. Figures 13, 14, and 15 depict examples of simulating EVM vs. fiber length characteristics for the modulator under test during optical modulation by 1.25 Gbit/s, 16-QAM, 15-GHz (transmission in IF band), or 40-GHz (transmission in MMW-band) RF signal, correspondingly. For the best vision, there are some insets in the figures showing constellation diagrams in specific points. In addition, in the figures, the dotted lines indicate the standard limit of the EVM during transmission of the 16-QAM signal, which is 12.5% [28].
Example of simulating EVM vs. fiber length characteristic for a FFL with DSB MZM under test.
Example of simulating EVM vs. fiber length characteristic for a FFL with CS-SSB MZM under test.
Example of simulating EVM vs. fiber length characteristic for a FFL with EAM under test.
The results of the simulation for the fiber-wireless fronthaul link of 5G NR system under study are summarized in Table 6.
Device under test | RF carrier (GHz) | Allowable distance of FFL (km) |
---|---|---|
DSB MZM | 15 | 16 |
40 | 7.3 | |
SC-SSB MZM | 15 | Much more than 50 |
40 | 47 | |
EAM | 15 | 23 |
40 | 8 |
The results of the simulation.
The following outputs can be derived from our study:
The minimum values of EVM were obtained for external modulation using CS-SSB MZM, which, nevertheless, requires the most complex control schematic, accordingly, and has the greatest value.
The slope of the EVM characteristic increases with distance from SC-SSB MZM to DSB MZM through EAM, which corresponds to the known data [30, 34].
The significant fluctuations in the values of the EVM at the 40-GHz RF carrier (see Figure 13) are characterized by the effect of dispersion in an extended optical fiber. To eliminate it in order to increase the length of the FFL, it is required to introduce at its end a dispersion corrector, which is a standard element in a fiber-optic communication system.
An important element of a RoF-based mobile communication network (see Figure 3) is a remote station, through which an interactive fiber-wireless interface is implemented. Recently, we have proposed and previously investigated advanced design concept of cost- and power-efficient base station for emerging FiWi networks, in which for a multifrequency conversion of a RF carrier, a MWP-assisted optical frequency comb generator (OFCG) based on an optical recirculation loop (ORL) technique using two SC-SSB optical modulators was developed [19]. Leveraging the application of this OFCG for a realistic case, the simulation results by the same computer tool imitating multiwavelength optical frequency comb generation and transmission of quadrature amplitude-modulated RF signals through OFCG-based FWI of a FiWi-architected RS are discussed.
Figure 16 shows the VPI model and setup for simulation of the OFCG scheme under study. There are four units depicted in the figure: the composed model of ORL includes library models of optical X-coupler, SC-SSB modulator, optical amplifier (OA), and optical band-pass filter (OBPF), library models of continuous-wave semiconductor laser (CW-SL) emitting at the frequency ν0 as an optical source, RF generator (RFG) as a RF signal source, and library instrumental model of optical spectrum analyzer (OSA). In order to close the ORL, the output of OBPF through the service unit T and input of SC-SSB are connected to X-coupler’s port “input2” and port “output2,” correspondingly. During the simulation, RFG acts as a source of the reference RF signal (fref), while using the OSA, the output optical spectrum is recorded.
VPI model and setup for simulation of the OFCG.
Figure 17 shows the VPI model and setup for simulation of OFCG-based fiber-to-MMW-band wireless interface, while transmission of QAM-modulated RF signals is supported. The scheme represents the downlink channel of FiWi-architected RoF system and consists of three units imitating the operation of CS, RS, and two-fiber optical cable between them. The CS includes the same laser model, the radiation of which is divided into two branches using a Y-coupler, library model of SC-SSB modulator with suppressing lower sideband and library instrumental model of QAM RF transmitter. The latter contains library models of QAM generator and output unit for power control followed by electrical amplifier. This module generates an electrical M-QAM signal up-converted at a given RF carrier frequency. The optical cable includes two equivalent library models of single-mode optical fiber. Such a remote optical feed reduces the cost of the RS. Besides the OFCG model (see Figure 16), the RS includes library models of optical amplifier, X-coupler, photodiode, and electrical post-amplifier outputted to the model of QAM RF receiver (see Section 3.1).
VPI model and setup for simulation of OFCG-based fiber-to-MMW-band wireless interface.
In the course of the research, first of all, the possibility of creating a multifrequency OFCG with the closest arrangement of the teeth is checked. Then, the transmission quality of a digital RF signal with multi-position QAM through the downlink channel of the RS using fiber-to-MMW-band wireless interface is analyzed. Table 7 lists the common reference data for the OFCG under study. The reference data for the fiber-to-MMW-band wireless interface under study correspond to Table 2, with the exception of the frequency of RF carrier (37–43.5 GHz instead of 1.8–40 GHz) and data rates (1.25 Gbit/s instead of 2.5 Gbit/s).
Parameter | Value |
---|---|
Laser source frequency (ν0) | 193.3 THz |
Laser linewidth | 10 kHz |
Reference RF frequency (fref) | 0.3 GHz |
Type of modulator inside optical recirculating loop | SC-SSB (up/down) |
Gain of recirculating loop (g) | 0.8 < g < 1 |
Number of up or down round trips | Not less than 10 |
Level nonuniformity of output comb teeth | Not more than 5 dB |
Reference data for the OFCG under study.
Figure 18 demonstrates an OSA’s spectrum of multiwavelength optical frequency comb output following the setup of Figure 16. As one can see from the figure, the OFCG under study includes 21 optical carriers with the spacing of 0.3 GHz and a level nonuniformity of less than 5 dB.
A spectrum of multiwavelength optical frequency comb output.
The results of the simulations are presented in Figure 19. For a clear view, there are some insets in Figure 19 showing constellation diagrams in specific points. In particular, as one can see from the figure, due to dispersion in the optical cable, the EVM values increase with a slope of near 0.17%/km reaching a standard limit for 64-QAM of 8% [28] at a distance of 40 km.
EVM vs. optical cable length.
The following output can be derived from our study. When transmitting digital radio signals with 64-QAM on millimeter-wave RF carriers (37–43.5 GHz), even when using SC-SSB MZM and high coherent laser, the dispersion in an optical cable has a significant impact on the quality of the received signal. However, the error is within the standard limit up to a distance of 40 km.
Finally, we consider and discuss the optimal design principle of an interactive fiber-wireless fronthaul network when distributing digital radio signals over fiber-optic link. The feasible variants are compared in Table 8. For the possibility of quantitative analysis, we take the widely used bitrate for the modern networks of 1 Gbit/s (e.g., the standard Gigabit Ethernet).
Transmission range | Option 1. In baseband | Option 2. In the band of intermediate RF signals | Option 3. In the band of RF carriers |
---|---|---|---|
Type of FOCS | Digital | Analog | Analog |
Upper modulation frequency (GHz) | 1 | 10–15 | 40–80 |
Relative bandwidth (%) | 100 | 40 | 30 |
Demands to signal-to-noise ratio | Low | High | High |
Demands to the equipment linearity | Low | High | Middle |
Complexity of CO layout (cost) | Low | Middle | High |
Complexity of BS layout (cost) | High | Middle | Low |
Comparison of the feasible options for transporting signals over FWI.
Based on the general comparison, below the results of our recent investigations to design optimally a fiber-wireless fronthaul including a central station, MMW wireless interface, and pico-cell remote station are presented.
In particular, we compare the three options of distributing signals through fifth-generation fronthaul communication network of fiber-wireless architecture with a wireless section operating in MMW band: in baseband, in intermediate frequency band, and directly in RF band on the same MMW frequencies. Figure 20 demonstrates three possible options including interactive transmission in the baseband (a), in the IF band (b), and in the RF (MMW) band (c). The following abbreviations are used in the figure: TSL, tunable semiconductor laser; EOM, electro-optic modulator; PD, photodetector; RFM, RF modulator; RFDM, RF demodulator; MIMO, multiple input/multiple output; IFM, IF modulator; RFC, RF converter.
The possible options of transmitting signals through FiWi fronthaul. (a) Baseband-over-Fiber transmission, (b) IF-over-Fiber transmission, and (c) RF-over-Fiber transmission.
To verify the optimal layout, a transmission quality simulation of a 64-QAM, 2.5 Gbit/s digital signal transmitted at a frequency in the IF band (15 GHz) or in the MMW band (40 GHz) through FFL using CS-SSB MZM, was performed by the same off-the-shelf computer tool of VPIphotonics Design Suite. The reference data used in the calculations are taken from Table 5 for the modulator and from Table 2 for the entire FWFN. The result, which is a dependence of the EVM vs. the fiber length, is shown in Figure 21.
EVM vs. fiber length characteristic.
As follows from the figure, the transmission at 40 GHz is carried out at a much worse quality than at 15 GHz. In particular, the standard for 64-QAM limit of 8% [28] is achieved in the first case with a fiber link length of 23 km and as much as 60 km in the second case.
The following outcomes can be drawn:
To realize Option 1, it is necessary to use digital fiber-optic communication system, whereas for the second and third options, analog system is required with its inherent higher requirements for the signal-to-noise ratio and the linearity of the equipment.
The value of the upper modulation frequency in the second and, especially, in the third options is significantly higher in comparison with the first one, which tightens the requirements for the electronic and optoelectronic components of the CS equipment and, as a result, its cost.
The relative bandwidth of the transmission channel for the second and third options is substantially lower than in the first one, which simplifies the circuitry of the CS and RS equipment’s amplifying and converting units and, as a result, improves their cost characteristics.
The option with transmission in the RF carrier band is realized with the least number of transformations on the RS, which minimizes its cost and, consequently, the cost of the entire user access network. However, the fiber-optic transmission of the MMW-band signals has a serious limitation due to the dispersion effect of standard optical fiber.
We believe that the optimal approach would be IF-over-fiber transmission in spite of this option requiring an interface at the RS that has to perform RF up- or down-conversion. Nevertheless, transmission in IF band (see Figure 20(b)) provides versatility, as there is a simple possibility of RF conversion at a RS, both in the LR and in the HR (see Figure 1). For the effective implementation of it, we have proposed and described two RS schemes [14, 19] capable of frequency converting both LR and HR.
In the chapter, we proposed and highlighted in detail the specific for incoming fifth-generation mobile communication system principles to optimally design an access network using small cell scenario, radio-over-fiber concept, and microwave-photonic-based approach. In the generally accepted interpretation, the small cell scenario means a consistent network partitioning into micro- and pico-cells with a service area diameter of not more than 200 m. Radio-over-fiber concept is to design pico-cell network based on fiber-wireless architecture. Using microwave-photonic-based approach means the formation and processing of transmitted radio signals in the optical range, which leads to a significant improvement of the bandwidth features at lower size, weight, and power as compared with traditional characteristics of network equipment. The main idea behind the proposed principle to design pico-cell fiber-wireless fronthaul network is to split it into two sub-systems that consist of optical distribution network including central station hardware and fiber-optic link and fiber-wireless interface including a remote station hardware and the same fiber-optic link. In order to verify efficiency of the proposed design principles, we performed modeling in a well-known computer-aided design environment VPIphotonics Design Suite. The goal of the study was to examine and select optimal modulating scheme and transmitter parameters to propagate higher-order quadrature amplitude modulation signals at radio-frequency carriers of millimeter-wave band over radio-over-fiber-based fiber-wireless Fronthaul network using advanced commercial optoelectronic devices and standard single-mode optical fiber. In the result of simulation experiments, optimal design principles of optical distribution network, fiber-wireless interface, and fiber-wireless fronthaul network as a whole have been proposed, described, and validated. Particularly, the study of the optimal method and device for transmitting multi-positional QAM signals at RF carriers showed that in the so-called low range (see Figure 1), the maximum allowable distance of a fiber-optic link is provided up to 33 km for a LW-VCSEL and up to 55 km for a DFB laser in the case of direct modulation, as well as up to 58 km for an EAM and up to 62 km for a SC-SSB MZM in the case of external modulation. In addition, in the so-called high range (see Figure 1), the maximum allowable distance of a fiber-optic link is significantly reduced, reaching at best not more than 23 km even when using a SC-SSB MZM, which, nevertheless, requires the most complex control schematic, accordingly, and has the greatest value.
This work was supported by the Russian Foundation for Basic Research, Grant No. 18-29-20083.
The authors declare the lack of the “conflict of interest.”
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