An improved communication resource allocation strategy for wireless networks based on deep reinforcement learning

Ting Xu; Ming Zhao; Xin Yao; Yusen Zhu

doi:10.1016/j.comcom.2022.02.018

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JOURNAL ARTICLE

An improved communication resource allocation strategy for wireless networks based on deep reinforcement learning

Ting Xu Ming Zhao Xin Yao Yusen Zhu

Year: 2022 Journal: Computer Communications Vol: 188 Pages: 90-98 Publisher: Elsevier BV

DOI: 10.1016/j.comcom.2022.02.018

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Keywords:

Computer science Computer network Reinforcement learning Wireless network Node (physics) Wireless Energy consumption Key distribution in wireless sensor networks Wireless sensor network Real-time computing Telecommunications Artificial intelligence

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1.18

FWCI (Field Weighted Citation Impact)

Refs

0.74

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Is in top 1%

Is in top 10%

Citation History

Topics

IoT Networks and Protocols

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Wireless Body Area Networks

Physical Sciences → Engineering → Biomedical Engineering

An improved communication resource allocation strategy for wireless networks based on deep reinforcement learning

Metrics

Citation History

Topics

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