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Efficient System Capacity User Selection Algorithm in MU-MIMO

Abstract : Radio resource allocation is a major research field in wireless networks. The main challenge is to find the most suitable user for each time and frequency resource to ensure the Quality of Service (QoS) requirements. The use of Massive Multiple-Input-Multiple-Output (MIMO) makes it possible to simultaneously schedule several users on the same time and frequency resources. This is a new paradigm for resource scheduling. In this context, resource allocation algorithms have to account for the choice of users served on the same time and frequency resource in their decision mechanism. In this paper we analyze the impact of different group sizes on system capacity using several user selection algorithms and we propose a new user selection algorithm which performs closer to the optimal algorithm proposed in the literature.
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Submitted on : Friday, June 18, 2021 - 6:39:44 PM
Last modification on : Tuesday, October 19, 2021 - 11:04:37 AM
Long-term archiving on: : Sunday, September 19, 2021 - 7:07:25 PM


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Malo Manini, Cédric Gueguen, Rodolphe Legouable, Xavier Lagrange. Efficient System Capacity User Selection Algorithm in MU-MIMO. VTC2021-Spring : IEEE 93rd Vehicular Technology Conference, Apr 2021, Helsinki, Finland. ⟨10.1109/VTC2021-Spring51267.2021.9448632⟩. ⟨hal-03265005⟩



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