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Resource Allocation and Power Control Policy for Device-to-Device Communication Using Multi-Agent Reinforcement Learning
Author(s) -
Yifei Wei,
Yinxiang Qu,
Min Zhao,
Lianping Zhang,
F. Richard Yu
Publication year - 2020
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2020.09130
Subject(s) - reinforcement learning , computer science , resource allocation , throughput , q learning , convergence (economics) , multi agent system , fuzzy logic , distributed computing , mathematical optimization , channel (broadcasting) , power control , artificial intelligence , power (physics) , computer network , wireless , telecommunications , physics , mathematics , quantum mechanics , economics , economic growth

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