SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3068740
Abstract: In future wireless systems, latency of information needs to be minimized to satisfy the requirements of many mission-critical applications. Meanwhile, not all terminals carry equally-urgent packets given their distinct situations, e.g., status freshness. Leveraging this… read more here.
Keywords: reinforcement learning; multi agent; based transmissions; agent reinforcement ... See more keywords