In recent years, jointly optimizing unmanned aerial vehicle (UAV) hover point selection and resource management for UAV-assisted mobile edge computing (MEC) is a hot research topic. Unlike previous studies, this paper investigates the optimization problem of hover point selection and resource management under dynamic jamming attacks, where the objective is to maximize overall communication and computing efficiency while taking into account constraints on total UAV power and the availability of channels. Due to the non-convex problem and highly dynamic environments, we then propose an advanced deep reinforcement learning (DRL) algorithm to jointly optimize UAV hover point selection, task collection time ratio, transmission power, channel selection, and task offloading ratio to improve the efficiency of UAV-assisted MEC. Specifically, the algorithm optimizes UAV hover point selection to minimize the negative effect of jamming attacks, and then manages resources to improve UAV task processing capacity and reduce energy consumption while mitigating jamming. Simulation results demonstrate that our proposed learning-based algorithm significantly enhances the computing and offloading efficiency in complex and dynamic UAV-assisted MEC environments against jamming compared to other existing algorithms.

Shuai Liu

Helin Yang

Liang Xiao

Mengting Zheng

Huabing Lu

Zehui Xiong

IEEE Transactions on Communications

IEEE TRANSACTIONS ON COMMUNICATIONS 通过包括无线电在内的电磁传播发表高质量的手稿，介绍所有电信技术（包括电话、电报、传真和电视）的最新进展；金属丝;天线;地下、同轴和海底电缆；波导、通信卫星和激光器；在海洋、航空、空间和固定站服务方面；中继器、无线电中继、信号存储和再生；电信错误检测和纠正；多路复用和载波技术；通信交换系统；数据通信；和传播理论。

The IEEE Transactions on Communications publishes high-quality manuscripts that cover the latest advancements in electromagnetic propagation, including telecommunications technologies such as radio, telephone, telegraph, fax, and television. The content encompasses technologies like metallic wires, antennas, underground, coaxial, and submarine cables, waveguides, communication satellites, and lasers, as well as their applications in marine, aviation, space, and fixed station services. Additionally, the journal explores topics such as repeaters, radio relays, signal storage and regeneration, telecommunications error detection and correction, multiplexing and carrier technologies, communication switching systems, data communication, and propagation theory.

《IEEE Transactions on Communications》期刊发表高质量的手稿，涵盖电磁传播领域的最新进展，包括无线电、电话、电报、传真和电视等电信技术。内容涉及金属丝、天线、地下、同轴和海底电缆、波导、通信卫星和激光器等技术，以及在海洋、航空、空间和固定站服务中的应用。此外，期刊还探讨中继器、无线电中继、信号存储和再生、电信错误检测与纠正、多路复用和载波技术、通信交换系统、数据通信和传播理论等主题。

Category	Quartile
计算机科学	2
计算机科学, 工程电子与电气	2
计算机科学, 电信学	2

Learning-Based Resource Management Optimization for UAV-Assisted MEC Against Jamming

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