J. A. Mannil

Mission-critical spectrum sharing with decentralized Multi-Agent Reinforcement Learning

Motivated by emerging mission-critical applications and an increasingly congested spectrum, we develop a decentralized multi-agent reinforcement learning (MARL) model for dynamic spectrum access. The model enables secondary users to learn effective transmission strategies across shared frequency bands while minimizing...