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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2021

27.04.2021

Sum-Rate Improvement in Massive MIMO System with User Grouping and Selection, and Antenna Scheduling Scheme

verfasst von: Tasher Ali Sheikh, Joyatri Bora, Md. Anwar Hussain

Erschienen in: Wireless Personal Communications | Ausgabe 2/2021

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Abstract

In this paper, we have proposed user grouping method and new user selection techniques in TDD Massive (MIMO) systems. Using K-means clustering algorithm we separate the users into different groups. Upon user groups are formed users are selected from different groups with Semi-Orthogonal (SO) and random user selection criteria. We use two user selection method to select users from different groups, those are-(i) Users are selected in intra-group those are SO with each other along with it also SO with other group’s users, (ii)-Users are selected from inter-group those are SO with each other. For antenna scheduling we used maximum channel gain measure in both the user selection situation. Semi-Orthogonal user selection (SOU) and antenna scheduling with zero forcing precoding demonstrated maximum system sum-rate that is seen in results. In table-1 appraised the computational cost of our modified SOU algorithm. The proposed algorithm’s efficiency is explored through the simulations.
Vorheriger Artikel Energy Efficient Disjoint Multipath Routing Protocol Using Simulated Annealing in MANET
Nächster Artikel A Survey on Successive Interference Cancellation Schemes in Non-Orthogonal Multiple Access for Future Radio Access

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Metadaten
Titel
Sum-Rate Improvement in Massive MIMO System with User Grouping and Selection, and Antenna Scheduling Scheme
verfasst von
Tasher Ali Sheikh
Joyatri Bora
Md. Anwar Hussain
Publikationsdatum
27.04.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08503-2

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