Research Article
Optimal Access Point Selection Approach for User-Centric Cell-Free Massive MIMO Systems
@INPROCEEDINGS{10.1007/978-3-031-70507-6_1, author={Weifeng Ma and Xinghua Sun and Xijun Wang and Wen Zhan}, title={Optimal Access Point Selection Approach for User-Centric Cell-Free Massive MIMO Systems}, proceedings={IoT as a Service. 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023, Proceedings}, proceedings_a={IOTAAS}, year={2024}, month={10}, keywords={Cell-Free Massive MIMO User-Centric AP selection}, doi={10.1007/978-3-031-70507-6_1} }- Weifeng Ma
Xinghua Sun
Xijun Wang
Wen Zhan
Year: 2024
Optimal Access Point Selection Approach for User-Centric Cell-Free Massive MIMO Systems
IOTAAS
Springer
DOI: 10.1007/978-3-031-70507-6_1
Abstract
Recently, the Cell-Free Massive Multiple-Input Multiple-Out-put (MIMO) architecture has emerged as a promising solution for future wireless communication systems, where a substantial number of distributed wireless Access Points (APs) concurrently serve a significantly smaller count of User Equipment (UE). In this paper, we study the AP selection problem in user-centric cell-free massive MIMO, where each user is served by a restricted number of APs. To address this problem, we propose a Branch-And-Bound (BAB)-based AP selection algorithm to achieve maximum channel capacity, which is designed to efficiently obtain the optimal subset of APs for each user. Our simulation results show that the proposed algorithm outperforms other baseline methods in terms of channel capacity at the expense of some complexity. Meanwhile, our complexity is much lower than the exhaustive search, which also yields optimal results.
