MULTI-USER MIMO SYSTEMS FOR COMMUNICATION

Rishabh Arora; Amit Pradhan; Sharada Gupta M N

MULTI-USER MIMO SYSTEMS FOR COMMUNICATION

Authors

Rishabh Arora K.R. Mangalam University, Gurugram, Haryana, INDIA
Amit Pradhan Sandip University (Sijoul)
Sharada Gupta M N Sri Siddhartha Academy of Higher Education

Keywords:

Engineering, Technological, Communication

Abstract

Multi-User MIMO (MU- newline IMO) devices have established themselves as the technique of choice for successfully fulfilling the prerequisites. newline An exhaustive simulation was carried out so that the performance of newlines could be evaluated within the context of this research project. the performance of the Error (BER) for a number of different single user MIMO (SU-MIMO) and multi user newline IMO (MU-MIMO) systems. The work that needs to be done for the thesis is separated into three different phases. An investigation into methods for increasing the channel capacity of the MIMO system through the implementation of the water-filling newline newline algorithm is carried out during the initial phase of the newline process. The BER performance of STBC and Orthogonal-STBC using ZF and MMSE newline equalization techniques demonstrates that, the MMSE equalization techniques indicates that for newline achieving a BER 10 -3 much lower SNR 12 dB is essential in comparison to ZF equalizer newline systems. This is demonstrated by the fact that the BER performance of STBC and Orthogonal-STBC using ZF and MMSE newline equalization techniques demonstrates that. MIMO systems are investigated in the second phase using precoded orthogonal space- newline time block codes (OSTBC) that have been optimized with the help of an evolutionary algorithm. The OSTBC made efforts to advance the newline project. The evolutionary algorithm suggests that the BER 10-3 can be achieved with a much lower SNR of 5 dB newline for MMSE equalisation. This is in contrast to the conventional wisdom. Implementing bacterial foraging optimized newline block diagonalization precoding for a multi-user MIMO system is part of the third phase. This is done in order to reduce the signal-to-noise ratio (SNR) in the newline various fading channels. These channels include Rayleigh, Rician, Nakagami-m, and and#945; -and#956; fading channels. newline Theoptimization of the Block Diagonalization process using the bacterial foraging optimization (BFO) algorithm demonstrates that the proposed technique significantly improves the performance of the Block Diagonalization method in all four fading channels. This was demonstrated by the fact that the proposed technique significantly improved the performance of the Block Diagonalization method. This suggests that the Nakagami-m channel, which has the lowest signal-to-noise ratio (SNR) of 2.3 dB and accomplishes the lowest bit error rate (BER) of 10-3, is the one that is best suitable for the applications that are used in contemporary communication and network systems.

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MULTI-USER MIMO SYSTEMS FOR COMMUNICATION