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OPTIMIZATION OF MIMO SYSTEM USING SIC-MMSE IN ADDITIVE WHITE GAUSSIAN NOISE RAYLEIGH FADING CHANNELS

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.7, No. 9)

Publication Date:

Authors : ; ;

Page : 146-153

Keywords : MIMO; Additive White Gaussian Noise; Minimum Mean Square Error; Successive Interference Cancellation.;

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Abstract

Multiple-Input Multiple-Output(MIMO) technology is one of the most promising wireless technologies that can efficiently boost the data transmission rate, improve on system coverage and enhance the link liability. The performance of MIMO system can be improved by using multiple antennas at transmitter and receiver side to provide spatial diversity. The use of multiple antennas at both transmitter and receiver side can considerably increase the channel throughput which makes it irresistible for high data rate wireless applications. In this paper, the effects of the number of transmit and receiver's antennas on the performance of MIMO system over AWGN and Rayleigh fading channels with MMSE receiver were analyzed. This paper also analyzed the effect of intersymbol interference in MIMO.Channel estimation scheme was developed called the Successive Interference Cancellation Minimum Mean Square Error (SIC-MMSE) based on bit error rate using Mat-lab software. The results show an improvement to the MMSE scheme. As a result of reduction in the amplified noise of MMSE scheme, SIC-MMSE was formed with an improvement of threepercentage (3%).

Last modified: 2018-09-08 19:55:05