Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Institute of New Media and Communications, Seoul National University, Seoul, South Korea
Funder
Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant
Korea Government
National Research Foundation of Korea (NRF) Grant
Korean Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/7511293/10129245/10018462.pdf?arnumber=10018462
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4. Parallel Deep Reinforcement Learning Based Online User Association Optimization in Heterogeneous Networks
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