Performance Evaluation of Channel Capacity In MIMO System

摘要

The demand for Multiple-input Multiple-output (MIMO) system is growing at an explosive rate with the anticipation that communication to a end user anywhere on the globe at all times will be available in the near future. Water-Filling Algorithm (WFA) is presented for MIMO Rayleigh fading environment under Channel Side Information (CSI) is known and unknown at the transmitter. We mainly demonstrate on efficient use of information theoretic Capacity of independently and identically distributed (i.i.d.) MIMO Rayleigh flat fading channels. However, the capacity gain is reduced if the CSI is not perfect. Assuming each antenna in Transmitter is allocated equal amount of power which maximizes capacity. To achieve high capacity gain the reported algorithm can effectively be optimized for maximizing the channel capacity. We also compared the ergodic channel capacity and channel outage capacity with simulation results. We show that the proposed scheme is spectral efficient, as it offers the full coding rate when the numbers of transmitting and receiving antennas are equal. Moreover the validity of the presented channel estimation algorithm and diversity scheme is verified via computer simulations with MATLAB.