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


Affiliations
1 Department of Computer Science, Federal University of Technology, Owerri, Nigeria., Nigeria
2 Department of Information Technology, Federal University of Technology, Owerri, Nigeria., Nigeria
 

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 MIMO 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.

Keywords

BER, Massive MIMO, Minimum mean square error, Precoding, Zero forcing.
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  • Bit Error Rate Analysis of Multiuser Massive MIMO Wireless System Using Linear Precoding Techniques

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Authors

Onukwugha, Chinwe Gilean
Department of Computer Science, Federal University of Technology, Owerri, Nigeria., Nigeria
Njoku, Donatus Onyedikachi
Department of Computer Science, Federal University of Technology, Owerri, Nigeria., Nigeria
Jibiri, Janefrances Ebere
Department of Information Technology, Federal University of Technology, Owerri, Nigeria., Nigeria
Dimoji, Chigozie
Department of Computer Science, Federal University of Technology, Owerri, Nigeria., Nigeria

Abstract


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 MIMO 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.

Keywords


BER, Massive MIMO, Minimum mean square error, Precoding, Zero forcing.

References