Journals Proceedings

Abstract

Multiple-Input Multiple-Output (MIMO) Systems are used in wireless communication for enhancement of capacity. The main aim of this paper is to carry out investigations of MIMO system capacity and to observe the performance of MIMO system by using Waterfilling Algorithm. In which Diversity gain and spatial multiplexing gain are the two main advantages of MIMO systems that are used to study the effect of increase in bit rate with increasing the number of transmitter and receiver antennas. These advantages are due to the increase in order of diversity in diversity gain and the other is direct proportionality of transmit and receive antennas each other in spatial multiplexing gain. In this thesis the problem of maximizing the capacity of MIMO system with water filling algorithm is implemented by the singular value decomposition (SVD) of the received signal which is composed of a set of parallel sub channels, where MATLAB is used to simulate the effect of MIMO system capacity with Rayleigh fading channel. The simulation results shows that the performance of the MIMO system improves with the number of transmit and receive antennas in terms of capacity and bit error rate (BER). In this paper we have observed the variation in the capacity of MIMO system with the number of transmit and receive antennas and also observed the variations in the statistical parameters of the diagonal matrix obtained by singular value decomposition of the MIMO system. The variation of bit error rate with signal to noise ratio (SNR) for different cases of transmit and receive antennas are also observed.