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Title in Portuguese: A framework for radio resource allocation and SDMA grouping in massive MIMO systems
Author: Mauricio, Weskley Vinicius Fernandes
Araújo, Daniel Costa
Maciel, Tarcísio Ferreira
Lima, Francisco Rafael Marques
Keywords: Massive MIMO
Channel hardening
SDMA grouping
Radio resource allocation
Quality of service
Issue Date: 2021
Publisher: IEEE Acess
Citation: MACIEL, T. F. et al. A framework for radio resource allocation and SDMA grouping in massive MIMO systems. IEEE Acess, vol. 9, p. 61680-61696, 2021
Abstract: This work proposes a framework for multiuser massive Multiple Input Multiple Output (MIMO) systems which is composed of three parts - clustering , grouping , and scheduling - and aims at maximizing the total system data rate considering Quality of Service (QoS) constraints. We firstly use a clustering algorithm to create clusters of spatially correlated Mobile Stations (MSs). Secondly, in the grouping part, we select a set of Space-Division Multiple Access (SDMA) groups from each cluster. These groups are used as candidate groups to receive Scheduling Unit (SU) in the scheduling part. In order to compose a group, we employ a metric that takes into account the trade-off between the spatial channel correlation and channel gain of MSs. In this context, it is proposed a suboptimal solution to avoid the high complexity required by the optimal solution. Thirdly and finally, we use the candidate SDMA groups from the grouping part to solve the data rate maximization problem considering QoS requirements. The scheduling part can be solved by our proposed optimal solution based on Branch and Bound (BB). However, since it has high computational complexity, we propose a suboptimal scheduling algorithm that presents a reduced complexity. In the simulation results, we evaluate the performance of both optimal and suboptimal solutions, as well as an adaptation of the Joint Satisfaction Maximization (JSM) scheduler to a massive MIMO scenario. Although the suboptimal solution presents a performance loss compared to the optimal one, it is more suitable for practical settings as it is able to obtain a good performance-complexity trade-off. Furthermore, we show that the choice of a suitable trade-off between the spatial channel correlation and channel gain improves the system performance. Finally, for a low number of available SDMA groups, the suboptimal solution presents near optimal outage and a throughput loss of only 10% in comparison to the high-complexity optimal solution while it outperforms the JSM solution in terms of outage and system throughput.
metadata.dc.type: Artigo de Periódico
ISSN: 2169-3536
Appears in Collections:DETE - Artigos publicados em revista científica

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