System performance analysis of MIMO channel capacity with channel state approaches

Multiple Input Multiple Output (MIMO) is a radio communication technology or RF technology that is being mentioned and used in many new technologies these days. The capacity of such a system depends on transmit and receive antenna strategies. The MIMO capacity scales roughly and linearly with the number of Transmitter and Receiver antennas. The two core approaches have been adopted to study the system performance are namely SVD and correlation matrix approach. These methods indicate that the capacity gain obtained from multiple antennas, heavily depends on the amount of channel knowledge at either the receiver or transmitter, the channel SNR, and the correlation between the channel gains on each antenna element. The proposed work explores numerical results of capacity with power allocation in Gaussian, Raleigh fading channels. Simulation of various different transmit and receive antenna strategies like, Independent Rayleigh fading channels in CSI/CDI mode, transmit and receive strategies in Additive White Gaussian Noise (AWGN) environment.