Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless Communication

@article{Vrieze2018CooperativeMR,
  title={Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless Communication},
  author={Colin de Vrieze and Shane Barratt and Daniel Tsai and Anant Sahai},
  journal={CoRR},
  year={2018},
  volume={abs/1801.04541}
}
Traditional radio systems are strictly co-designed on the lower levels of the OSI stack for compatibility and efficiency. Although this has enabled the success of radio communications, it has also introduced lengthy standardization processes and imposed static allocation of the radio spectrum. Various initiatives have been undertaken by the research community to tackle the problem of artificial spectrum scarcity by both making frequency allocation more dynamic and building flexible radios to… CONTINUE READING
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