Dynamic Resource Allocation With Deep Reinforcement Learning in Multibeam Satellite Communication
Author:
Affiliation:
1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
BUPT Excellent Ph.D. Students Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10008400/09930852.pdf?arnumber=9930852
Reference19 articles.
1. Joint Interference Alignment and Power Control for Dense Networks via Deep Reinforcement Learning
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4. Technical specification group radio access network; Solutions for NR to support non-terrestrial networks (release 16), V16.0.0,2019
5. Distributed Intelligence: A Verification for Multi-Agent DRL-Based Multibeam Satellite Resource Allocation
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