Deep-reinforcement-learning-based range-adaptive distributed power control for cellular-V2X

Wooyeol Yang; Han‐Shin Jo

doi:10.1016/j.icte.2022.07.008

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Deep-reinforcement-learning-based range-adaptive distributed power control for cellular-V2X

Wooyeol Yang Han‐Shin Jo

Year: 2022 Journal: ICT Express Vol: 9 (4)Pages: 648-655 Publisher: Elsevier BV

DOI: 10.1016/j.icte.2022.07.008

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Keywords:

Reinforcement learning Computer science Power control Network packet Range (aeronautics) Key (lock) Interference (communication) Channel (broadcasting) Power (physics) Monte Carlo method Computer network Distributed computing Artificial intelligence Engineering Mathematics Computer security

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Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced Wireless Network Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Wireless Networks and Protocols

Physical Sciences → Computer Science → Computer Networks and Communications

Deep-reinforcement-learning-based range-adaptive distributed power control for cellular-V2X

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