A hybrid beamforming Massive MIMO system for 5G: Performance assessment study

Sofya Bouchenak, Rachid Merzougui, Fouzi Harrou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Recently, massive MIMO (multiple-input multiple-output) technology has been employed to improve the coverage and capacity of 5G cellular networks. This paper investigates the impact of different factors on the performance of a hybrid MIMO system for 5G. This study is essential to find a suitable configuration when designing a hybrid MIMO system for 5G. Specifically, we investigate the effect of changing several variables, including the number of users, the number of transmitters, receiver antennas, the type of used modulation, and noisy data on the performance of a hybrid MIMO system for 5G. Furthermore, the Bit Error Rate (BER) is computed under different considered scenarios and used as an indicator of the effectiveness. Finally, simulations are conducted to accomplish this study. This assessment provides relevant information about the performance of a hybrid MIMO system for 5G under different circumstances.
Original languageEnglish (US)
Title of host publication2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
PublisherIEEE
Pages371-375
Number of pages5
ISBN (Print)978-1-6654-4033-2
DOIs
StatePublished - Nov 13 2021

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