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Arxiv
6d
107
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Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning
- Decentralized wireless network with several source-destination pairs sharing limited frequency bands.
- Sources adapt band selection strategy without information sharing.
- Proposed Fair Share RL (FSRL) solution achieves fairness without coordination.
- FSRL can be up to 89.0% fairer compared to baseline RL algorithm.
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