Mobility Support for MIMO-NOMA User Clustering in Next-Generation Wireless Networks

Naeem, Muhammad Kamran and Abozariba, Raouf and Asaduzzaman, Md and Patwary, Mohammad (2022) Mobility Support for MIMO-NOMA User Clustering in Next-Generation Wireless Networks. Transactions on Mobile Computing. ISSN 1536-1233

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Abstract

Non-Orthogonal Multiple Access (NOMA) is a promising technology for future-generation wireless systems, with potential to contribute to the improvement of spectral efficiency. NOMA groups users into clusters, based on channel gain-difference. However, user mobility continuously changes the channel gain, which often requires re-clustering. In this paper, we study a set of re-clustering methods: arbitrary, one-by-one and Kuhn-Munkres assignment algorithm (KMAA), that expedite link re-establishment and keep the clusters interference-free, taking into account the mobility of users. The methods are applied to automatically dissociate identified users within clusters, when the gain-difference is lower than a given threshold, followed by re-association procedure, which integrates users into different clusters, maintaining an appropriate gain-difference. Experimental results show that the KMAA method improves efficiency and capacity through minimizing the number of re-clustering events, improving resource utilization, and lowering signaling overhead. Other sets of results highlight the throughput and outage probability gains of the KMAA method across a wide range of mobility scenarios. We also provide an analysis of the KMAA algorithm when applied to MIMO-NOMA, encompassing link resiliency and maintenance of average gain-difference, among users in clusters.

Item Type:	Article
Identification Number:	10.1109/TMC.2022.3186430
Dates:	Date Event 10 June 2022 Accepted 27 June 2022 Published Online
Uncontrolled Keywords:	NOMA, Clustering algorithms, Resource management, Mobile computing, Heuristic algorithms, Throughput, Next generation networking
Subjects:	CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Raouf Abozariba
Date Deposited:	05 Jul 2022 13:59
Last Modified:	22 Mar 2023 12:00
URI:	https://www.open-access.bcu.ac.uk/id/eprint/13379

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