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International Journal of Sensors, Wireless Communications and Control

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ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

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Research Article

Performance Analysis of Various Massive MIMO Detection Algorithms in 5G Wireless Technologies

Author(s): Shihab Jimaa* and Jawahir Al-Ali

Volume 10, Issue 6, 2020

Page: [1012 - 1022] Pages: 11

DOI: 10.2174/2210327910666191223123059

Price: $65

Abstract

Background: The 5G will lead to a great transformation in the mobile telecommunications sector.

Objective: The huge challenges being faced by wireless communications such as the increased number of users have given a chance for 5G systems to be developed and considered as an alternative solution. The 5G technology will provide a higher data rate, reduced latency, more efficient power than the previous generations, higher system capacity, and more connected devices.

Method: It will offer new different technologies and enhanced versions of the existing ones, as well as new features. 5G systems are going to use massive MIMO (mMIMO), which is a promising technology in the development of these systems. Furthermore, mMIMO will increase the wireless spectrum efficiency and improve the network coverage.

Result: In this paper we present a brief survey on 5G and its technologies, discuss the mMIMO technology with its features and advantages, review the mMIMO capacity and energy efficiency and also presents the recent beamforming techniques.

Conclusion: Finally, simulation of adopting different mMIMO detection algorithms are presented, which shows the Alternating Direction Method Of Multipliers (ADMM)-based infinity-norm (ADMIN) detector has the best performance.

Keywords: 5G, massive MIMO, detection algorithms, wireless technologies, ADMM, AD-MIN.

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