AI RESEARCH
KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
arXiv CS.LG
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ArXi:2606.00266v1 Announce Type: cross A long-standing challenge in distributed wireless systems is ensuring efficient and fair random channel access. Existing solutions often address specific constraints related to timing, periodicity, or centralization, but they typically rely on fixed heuristics. Motivated by recent advances in machine learning (ML), we investigate whether ML agents can autonomously learn efficient and fair access strategies, and whether such learning can offer new insights into medium access control (MAC) design.