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

NAEEM, Muhammad, ABOZARIBA, Raouf, ASADUZZAMAN, Md and PATWARY, Mohammad (2022) Mobility Support for MIMO-NOMA User Clustering in Next-Generation Wireless Networks. IEEE Transactions on Mobile Computing. ISSN 1536-1233 (In Press)

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Abstract or description

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
Additional Information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: NOMA, switched beamforming, MIMO-NOMA, NGN, Massive MIMO, 6G
Faculty: School of Digital, Technologies and Arts > Engineering
Depositing User: Md ASADUZZAMAN
Date Deposited: 14 Jul 2022 14:29
Last Modified: 14 Jul 2022 14:29
URI: https://eprints.staffs.ac.uk/id/eprint/7389

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