Deep Reinforcement Learning for Interference Management in Millimeter-Wave Networks
Author:
Affiliation:
1. Villanova University,Department of Electrical and Computer Engineering,Villanova,PA,USA,19085
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10051833/10051818/10052069.pdf?arnumber=10052069
Reference22 articles.
1. Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning
2. A Q-Iearning based approach to interference avoidance in self-organized femtocell networks;bennis;Proc IEEE GLOBECOM Workshops,0
3. Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination
4. Playing atari with deep reinforcement learning;mnih;ArXiv Preprint,2013
5. Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach
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1. Joint Power Control and Beamforming for Interference Mitigation in Multi-User Millimeter-Wave Systems;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05
2. Multi-agent Deep Reinforcement Learning for Multi-Cell Interference Mitigation;2023 57th Annual Conference on Information Sciences and Systems (CISS);2023-03-22
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