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Dynamic Beam Pattern and Bandwidth Allocation Based on Multi-Agent Deep Reinforcement Learning for Beam Hopping Satellite Systems.
Zhiyuan Lin
Zuyao Ni
Linling Kuang
Chunxiao Jiang
Zhen Huang
Published in:
IEEE Trans. Veh. Technol. (2022)
Keyphrases
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reinforcement learning
multi agent
bandwidth allocation
computer systems
state space
distributed systems
dynamic environments
learning algorithm
quality of service
remote sensing