TY  - CHAP
AU  - Abdelfatteh Haidine
AU  - Fatima Zahra Salmam
AU  - Abdelhak Aqqal
AU  - Aziz Dahbi
ED  - Abdelfatteh Haidine
Y1  - 2021-07-05
PY  - 2021
T1  - Artificial Intelligence and Machine Learning in 5G and beyond: A Survey and Perspectives
N2  - The deployment of 4G/LTE (Long-Term Evolution) mobile networks has solved the major challenge of high capacities to build a real broadband mobile internet. This was possible mainly through a very strong physical layer and flexible network architecture. However, bandwidth-hungry services such as virtual reality (VR) and augmented reality (AR), have been developed in an unprecedented way. Furthermore, mobile networks are facing other new services with extreme demand for greater reliability and almost zero-latency performance, like vehicle communications and the Internet of Vehicles (IoV). Therefore, industries and researchers are investigating new physical layers and softwarization techniques and including more intelligence in 5G and beyond 5G (B5G/6G). This book discusses some of these softwarization techniques, such as fog computing, cloud computing, and artificial intelligence (AI) and machine learning (ML). It also presents use cases showing practical aspects from 5G deployment scenarios, where other communications technologies will co-habit to build the landscape of next-generation mobile networks (NGMNs).
BT  - Moving Broadband Mobile Communications Forward
SP  - Ch. 3
UR  - https://doi.org/10.5772/intechopen.98517
DO  - 10.5772/intechopen.98517
SN  - 978-1-83962-344-8
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-10
ER  -