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RIS Aided NR-U and WiFi Coexistence in Single Cell and Multiple Cell Networks on Unlicensed Bands
Zeng,Ming1; Ning,Xiangrui1; Wang,Wenxin1; Wu,Qingqing2; Fei,Zesong1
2023
Source PublicationIEEE Transactions on Green Communications and Networking
ISSN2473-2400
Abstract

To address the scarcity of spectrum resource incurred by explosively increasing traffic load in existing fifth generation (5G) networks, we consider exploiting Reconfigurable intelligent surface (RIS) to harmonize the coexistence of cellular networks and WiFi system on the unlicensed bands. In particular, RIS is capable of not only improving the performance of new radio on unlicensed bands (NR-U) by increasing the signal to interference and noise ratio (SINR) of cellular users, but also decreasing the interference to the existing WiFi system caused by NR-U. Thus, we investigate the performance of RIS aided coexisting networks both in single cell and multiple cell scenarios. For the single cell scenario, we aim to improve the worst transmission rate of UEs in NR-U network. The problem is solved by a proposed alternating optimization-based solution. For the multiple cell scenario, cell cooperation is exploited jointly with multiple RISs to maximize the sum-rate of all UEs. Although the problem is more challenging than that of single cell case, we propose a multi-agent reinforcement learning (MARL) algorithm to solve it. Numeral results verify the effectiveness of our proposed schemes and show that deploying RISs is a promising solution for the enhancement of NR-U networks.

KeywordArray Signal Processing Cellular Networks Interference Interference Suppression Multi-agent Reinforcement Learning Optimization Optimization Reconfigurable Intelligent Surfaces (Ris) Relays Signal To Noise Ratio Unlicensed Bands Wireless Fidelity
DOI10.1109/TGCN.2023.3247746
URLView the original
Language英語English
Scopus ID2-s2.0-85149376306
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Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Beijing Institute of Technology, Beijing, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Zeng,Ming,Ning,Xiangrui,Wang,Wenxin,et al. RIS Aided NR-U and WiFi Coexistence in Single Cell and Multiple Cell Networks on Unlicensed Bands[J]. IEEE Transactions on Green Communications and Networking, 2023.
APA Zeng,Ming., Ning,Xiangrui., Wang,Wenxin., Wu,Qingqing., & Fei,Zesong (2023). RIS Aided NR-U and WiFi Coexistence in Single Cell and Multiple Cell Networks on Unlicensed Bands. IEEE Transactions on Green Communications and Networking.
MLA Zeng,Ming,et al."RIS Aided NR-U and WiFi Coexistence in Single Cell and Multiple Cell Networks on Unlicensed Bands".IEEE Transactions on Green Communications and Networking (2023).
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