A Robust Resource Allocation Scheme for Device-to-Device Communications Based on Q-Learning | Zendy

Azka Amin | Zendy; Xi-Hua Liu | Zendy; Imran Khan | Zendy; Peerapong Uthansaku | Zendy; Masoud Forsat | Zendy; Seyed Sajad Mirjavadi | Zendy

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A Robust Resource Allocation Scheme for Device-to-Device Communications Based on Q-Learning

Author(s) -

Azka Amin,

Xi-Hua Liu,

Imran Khan,

Peerapong Uthansaku,

Masoud Forsat,

Seyed Sajad Mirjavadi

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.2020.011749

Subject(s) - computer science , base station , power control , resource allocation , throughput , transmission (telecommunications) , computer network , q learning , interference (communication) , channel (broadcasting) , cellular network , spectral efficiency , channel state information , quality of service , distributed computing , wireless , power (physics) , reinforcement learning , telecommunications , artificial intelligence , physics , quantum mechanics

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