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Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
April 29, 2024, 4:42 a.m. | Shufan Wang, Guojun Xiong, Shichen Zhang, Huacheng Zeng, Jian Li, Shivendra Panwar
cs.LG updates on arXiv.org arxiv.org
Abstract: We study the data packet transmission problem (mmDPT) in dense cell-free millimeter wave (mmWave) networks, i.e., users sending data packet requests to access points (APs) via uplinks and APs transmitting requested data packets to users via downlinks. Our objective is to minimize the average delay in the system due to APs' limited service capacity and unreliable wireless channels between APs and users. This problem can be formulated as a restless multi-armed bandits problem with fairness …
abstract access arxiv cs.it cs.lg cs.ni data delay eess.sp free math.it millimeter wave networks reinforcement reinforcement learning study type via
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