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Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach. (arXiv:2211.12201v1 [cs.NI])
Nov. 23, 2022, 2:12 a.m. | Francesco Pase, Marco Giordani, Giampaolo Cuozzo, Sara Cavallero, Joseph Eichinger, Roberto Verdone, Michele Zorzi
cs.LG updates on arXiv.org arxiv.org
This paper addresses the problem of enabling inter-machine Ultra-Reliable
Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things
(IIoT) networks. As far as the Radio Access Network (RAN) is concerned,
centralized pre-configured resource allocation requires scheduling grants to be
disseminated to the User Equipments (UEs) before uplink transmissions, which is
not efficient for URLLC, especially in case of flexible/unpredictable traffic.
To alleviate this burden, we study a distributed, user-centric scheme based on
machine learning in which UEs autonomously select …
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