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Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network Optimization

Single source1 source7 Oct 2026

arXiv:2610.07550v1 Announce Type: cross Abstract: Random access (RA) is one of the most foundational medium access control (MAC) layer scheduling schemes for handling unpredictable data traffic from multiple terminals.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.07550

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