Deep Reinforcement Learning-Based Resource Management for UAV-Assisted Mobile Edge Computing Against Jamming

Ziling Shao; Helin Yang; Liang Xiao; Wei Su; Yifan Chen; Zehui Xiong

doi:10.1109/tmc.2024.3432491

ScienceGate Book Chapters

JOURNAL ARTICLE

Deep Reinforcement Learning-Based Resource Management for UAV-Assisted Mobile Edge Computing Against Jamming

Ziling Shao Helin Yang Liang Xiao Wei Su Yifan Chen Zehui Xiong

Year: 2024 Journal: IEEE Transactions on Mobile Computing Vol: 23 (12)Pages: 13358-13374 Publisher: IEEE Computer Society

DOI: 10.1109/tmc.2024.3432491

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Reinforcement learning Jamming Mobile edge computing Mobile computing Resource management (computing) Edge computing Distributed computing Enhanced Data Rates for GSM Evolution Computer network Computer security Artificial intelligence

Metrics

Cited By

23.74

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Deep Reinforcement Learning-Based Resource Management for UAV-Assisted Mobile Edge Computing Against Jamming

Metrics

Citation History

Topics

Related Documents

Resource optimization for UAV-assisted mobile edge computing system based on deep reinforcement learning

Deep Reinforcement Learning-based UAV-assisted Mobile Edge Computing Offloading and Resource Allocation Decision

Energy and Latency-Aware Resource Management for UAV-Assisted Mobile Edge Computing Against Jamming

Deep Reinforcement Learning Based Secure Transmission for UAV-Assisted Mobile Edge Computing

Deep Reinforcement Learning-based Online Resource Management for UAV-Assisted Edge Computing with Dual Connectivity