Bit Error Rate Analysis of Multiuser Massive MIMO Wireless System Using Linear Precoding Techniques

This paper presents bit error rate (BER) analysis of multiuser (MU) massive multiple input multiple out (MIMO) wireless system using linear precoding techniques. Considering the increasing demand for wireless communication that will provide seamless performance to meet users satisfaction, various pr...

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Bibliographic Details
Published in:International journal of advanced networking and applications 2023-01, Vol.14 (4), p.5517-5522
Main Authors: Onukwugha, Chinwe Gilean, Njoku, Donatus Onyedikachi, Jibiri, Janefrances Ebere, Dimoji, Chigozie
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Bandwidths
Bit error rate
Computer simulation
Computer terminals
Data transmission
Efficiency
Error analysis
Mean square errors
MIMO communication
Multiplexing
Performance evaluation
Radio equipment
Transmitters
User satisfaction
Wireless communication systems
Wireless communications
Wireless networks
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Summary:This paper presents bit error rate (BER) analysis of multiuser (MU) massive multiple input multiple out (MIMO) wireless system using linear precoding techniques. Considering the increasing demand for wireless communication that will provide seamless performance to meet users satisfaction, various precoding schemes have been developed and with massive MIMO projected to be a promising technology for 5G and next generation network. Therefore, this study was basically designed to examine the effect of linear zero forcing (ZF) and minimum mean square error (MMSE) precoders on BER performance of MU massive MEMO system with up to 32 base station antennas (BS) and communicating with up to 5 user mobile terminals (MTs). A model that describes downlink operation of MU massive MIMO wireless communication system with spatial multiplexing employing linear ZF and MMSE precoders such that each user is equipped with single antenna MT resulting in overall access points of 5 antennas was developed in MATLAB. Computer simulations revealed that ZF outperformed MMSE. This observation was validated by similar report on massive MIMO in previous study.
ISSN:0975-0290
0975-0282