Radio‐resource Management and Optimization in 5G Networks

Gotsis, Antonis G.; Panagopoulos, Athanasios D.; Stefanatos, Stelios; Alexiou, Angeliki

doi:10.1002/9781119116493.ch21

Cited by 1 publication

(2 citation statements)

References 33 publications

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“…So, the user selection method is required to separate the users to be able to serve with the required good performance. The user selection method will improve the system performance but at the cost of some complexity due to the required multiplexing processes between groups [6], [7], [8], [9], [10], [27].…”

Section: User Selection Techniquementioning

confidence: 99%

“…The user selection method aims to separate the users into groups to reduce the interference between the served users. Reducing the interference in each group will improve the performance of the system in terms of some metrics, such as the spectral efficiency (SE) and the sum SE [6], [7], [8], [9], [10]. So, the system performance can be evaluated based on the SE and the sum SE in the system.…”

Section: Introductionmentioning

confidence: 99%

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User Selection Methods for Overcoming Growing Number of Served Users in Massive MIMO Systems

2023

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Massive MIMO is dominant in the current wireless communication systems. Massive MIMO system uses a massive number of antennas to serve multi-users simultaneously. The growth of served users in the system will increase the interference between them and affect the system's performance. To maintain the qualified service for the growing number of users, user selection techniques can be used to separate users into groups to be served well. This paper proposes three user selection methods named Mean Step User Selection (MSUS), Second Null User Selection (SNUS), and Interference Threshold User Selection (ITUS) methods. These three user selection methods aim to serve users with the best possible performance. The performance of these proposed user selection methods will be evaluated and compared with the performance of the system without selection and with the system using other user selection methods such as Random User Selection (RUS), Semi-orthogonal User Selection (SUS), and Inter-Channel Interference Based Selection (ICIBS) methods. The simulation shows that the proposed MSUS, SNUS, and ITUS methods provide an improvement in the spectral efficiency of 75.39%, 92.13%, and 153.71% when compared with the system without the selection method. The proposed user selection methods also improve performance compared to other user selection methods.

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