Vinodh Minchula

By Vinodh Kumar Minchula and Gottapu Sasibhushana Rao

For a time varying channel, the channel capacity is determined by the Channel State Information (CSI) or its fading distribution at a transmitter or receiver. If CSI is perfectly known at both the transmitter and receiver, then the transmitter can adapt to its optimal transmission strategy (i.e., optimal antenna selection by power allocation scheme) relative to its instantaneous channel state for capacity enhancement. In the case where the channel information is not available at the transmitter (No CSIT), the transmitted power has to be distributed equally (i.e., uniform power allocation) between the transmitting antennas to improve the channel capacity. The IWFA (Iterative water filling allocation) strategy therefore allocates power to those spatial channels with positive non-zero singular values i.e. good quality channels and discards the lower eigenmodes channels resulting in maximum capacity in MIMO systems for perfect CSIT. In this chapter, the performance analysis of Multi Antenna systems under ICSIT/ICSIR, Perfect CSIT, No CSIT channel conditions have been implemented and a novel adaptive power allocation algorithm (SVD-based IWFAA) is considered to improve the spectral efficiency of next generation wireless MIMO communication (4G–5G). The algorithm considered is more efficient at high noise levels (low SNRs) under Perfect CSIT conditions because the strongest channel eigenmodes are allocated more power.

Part of the book: Antenna Systems

By Vinodh Kumar Minchula and Gottapu Sasibhushana Rao

In practical 4G/5G MIMO systems, it is difficult to have independent fading among sub channels between different antenna pairs. There will be sub channel correlation between the transmit and receive antenna pairs. Spatial Antenna Correlation (SAC) is an important constraint in the performance of MIMO system capacity. It is observed that, if there is correlation then it effects the random distribution of eigenvalues and more correlation means it is probable that a few eigenvalues are large and rest are small. Therefore, correlation effects the loss in capacity and is bound by its eigenvalue distribution. In this chapter, the different SAC channel effects on Ergodic and outage MIMO capacities are analyzed and the correlation between signals received among antenna pairs are investigated to determine the optimal coherence distance between the spatial antennas under different angular dispersion conditions (rich and poor scattering phenomena).

Part of the book: 5G and 6G Enhanced Broadband Communications [Working title]