Fair Coexistence in Unlicensed Band for Next Generation Multiple Access: The Art of Learning

Haowei Xu, Xinghua Sun, Howard H. Yang, Ziyang Guo, Peng Liu, Tony Q.S. Quek

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Opening the unlicensed bands provides additional spectrum resources for the next generation wireless network, while severe unfairness and performance degradation occur when one coexists with the incumbent users of these bands. Therefore, plenty of efforts have been made towards fair coexistence, mainly focusing on parameter tuning of listen-before-talk (LBT) and duty-cycle (DC) mechanisms. For better utilization of the unlicensed bands, it is of paramount importance to establish an access mechanism that guarantees the fairness objective among feasible mechanisms. Such access mechanism and the corresponding benchmark, nevertheless, remain largely unknown. To address this issue, this paper considers the coexistence between WiFi and the other unlicensed nodes, and aims to maximize the α-fairness between them. A benchmark is first given by solving the optimization problem. Then we propose a deep reinforcement learning (DRL) mechanism to help the unlicensed nodes make access decisions, such that they coexist with WiFi harmoniously. Extensive simulations have been carried out, and the results show that the DRL mechanism can approach the benchmark.

原文English
主出版物標題ICC 2022 - IEEE International Conference on Communications
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2132-2137
頁數6
ISBN(電子)9781538683477
DOIs
出版狀態Published - 2022
事件2022 IEEE International Conference on Communications, ICC 2022 - Seoul, Korea, Republic of
持續時間: 2022 5月 162022 5月 20

出版系列

名字IEEE International Conference on Communications
2022-May
ISSN(列印)1550-3607

Conference

Conference2022 IEEE International Conference on Communications, ICC 2022
國家/地區Korea, Republic of
城市Seoul
期間22-05-1622-05-20

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 電氣與電子工程

指紋

深入研究「Fair Coexistence in Unlicensed Band for Next Generation Multiple Access: The Art of Learning」主題。共同形成了獨特的指紋。

引用此