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无人机辅助的通感算一体化系统资源分配研究综述

王正强 商鸿赫 万晓榆 樊自甫 多滨

无线电工程2025,Vol.55Issue(10):1965-1975,11.
无线电工程2025,Vol.55Issue(10):1965-1975,11.DOI:10.3969/j.issn.1003-3106.2025.10.003

无人机辅助的通感算一体化系统资源分配研究综述

A Comprehensive Survey on Resource Allocation for UAV-assisted Integrated Sensing,Communication,and Computing Systems

王正强 1商鸿赫 1万晓榆 1樊自甫 1多滨2

作者信息

  • 1. 重庆邮电大学 通信与信息工程学院,重庆 400065
  • 2. 成都理工大学 计算机与网络安全学院,四川 成都 610059
  • 折叠

摘要

Abstract

Unmanned Aerial Vehicle(UAV)-assisted Integrated Sensing,Communication,and Computation(ISCC)constitutes a crucial component of the 6th Generation Mobile Communication System(6G)networks,enhancing system performance through collaborative optimization.By reviewing the core performance metrics prevalent in existing research,classical models in UAV-ISCC systems are briefly summarized firstly.Subsequently,an overview of resource allocation studies is provided for two types of UAV-assisted ISCC scenarios:systems where UAVs act as relays and cooperative sensing nodes,and multi-UAV-assisted ISCC systems.Next,classic optimization algorithms used in UAV-ISCC systems are briefly summarized and compared,and the key performance metrics optimized in these scenarios are explored in depth.These metrics encompass data throughput,Age of Information(AoI),service success rate,and energy efficiency.Additionally,the main technical methods for addressing resource optimization issues in UAV-assisted ISCC systems are summarized,including convex optimization,decomposition algorithms,and emerging Deep Reinforcement Learning(DRL)techniques.Finally,the current challenges faced are summarized and an outlook for future research is provided.The main contributions of the research can be summarized as follows:a systematic review of UAV-ISCC resource allocation research from the perspectives of optimization paradigm and system architecture;a summary of the advantages and disadvantages of various optimization methods in different scenarios;and an in-depth exploration of the future development directions of UAV-ISCC systems.

关键词

通感算一体化/无人机/资源分配/深度强化学习

Key words

ISCC/UAV/resource allocation/deep reinforcement learning

分类

信息技术与安全科学

引用本文复制引用

王正强,商鸿赫,万晓榆,樊自甫,多滨..无人机辅助的通感算一体化系统资源分配研究综述[J].无线电工程,2025,55(10):1965-1975,11.

基金项目

四川省区域创新合作项目(2022YFQ0017)Sichuan Province Regional Innovation Cooperation Project(2022YFQ0017) (2022YFQ0017)

无线电工程

1003-3106

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