Sensing-Error-Aware UAV Scheduling Based on Generative Diffusion-Driven MADRL for ISAC-Enabled Multi-UAV Systems
文献类型：期刊论文
| 作者 | Wu, Yihao1,2,3; Yu, Hanxiao1,2,3; Zhou, Yiqing1,2,3; Shi, Ningzhe1,2,3; Cai, Qing1,2,3; Shi, Jinglin1,2,3 |
| 刊名 | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
 |
| 出版日期 | 2026 |
| 卷号 | 25页码:9782-9798 |
| 关键词 | Sensors Autonomous aerial vehicles Optimization Resource management Integrated sensing and communication Wireless communication Heuristic algorithms Trajectory Diffusion models Wireless sensor networks Generative diffusion model integrated sensing and communication sensing error multi-agent reinforcement learning uncrewed aerial vehicle |
| ISSN号 | 1536-1276 |
| DOI | 10.1109/TWC.2025.3638787 |
| 英文摘要 | In integrated sensing and communication (ISAC) enabled uncrewed aerial vehicle (UAV) systems, based on sensed information such as user positions, UAV scheduling could be optimized to enhance the communication performance. However, sensing errors are inevitable, leading to a performance degradation. This paper proposes a sensing-error-aware (SEA) multi-UAV scheduling scheme (SEA-scheduling). First, the impact of the sensing errors on communication performance is analyzed, and a SEA communication rate is derived. Then, targeting to maximize this SEA rate, multi-UAV collaborative scheduling is jointly optimized with sensing resource allocation. The problem is solved by decomposing into two subproblems, i.e., a joint UAV position schedule, user association and bandwidth allocation optimization subproblem (PUB) and a sensing resource optimization subproblem (SRO), which can be solved iteratively. A generative diffusion(GD)-driven multi-agent reinforcement learning (GD-MADRL) algorithm is proposed to solve PUB, and a classical simulated annealing (SA) algorithm is adopted to solve SRO. The main idea of GD-MADRL is to introduce the GD model in MADRL to generate training data with sensing errors, enhancing the robustness of generated UAV scheduling strategies. Simulation results demonstrate that when there are sensing errors, the proposed SEA-scheduling scheme improves the communication rate by up to 30% compared to existing sensing-error-unaware schemes. |
| 资助项目 | National Natural Science Foundation of China funded Industrial Internet Projects[U21A20449] ; National Key Research and Development Program of China[2021YFB2900203] ; National Natural Science Foundation of China[62201052] |
| WOS研究方向 | Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001659566900033 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/42907]  |
| 专题 | 中国科学院计算技术研究所 |
| 通讯作者 | Zhou, Yiqing |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Proc, Beijing 100190, Peoples R China 3.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Yihao,Yu, Hanxiao,Zhou, Yiqing,et al. Sensing-Error-Aware UAV Scheduling Based on Generative Diffusion-Driven MADRL for ISAC-Enabled Multi-UAV Systems[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2026,25:9782-9798. |
| APA | Wu, Yihao,Yu, Hanxiao,Zhou, Yiqing,Shi, Ningzhe,Cai, Qing,&Shi, Jinglin.(2026).Sensing-Error-Aware UAV Scheduling Based on Generative Diffusion-Driven MADRL for ISAC-Enabled Multi-UAV Systems.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,25,9782-9798. |
| MLA | Wu, Yihao,et al."Sensing-Error-Aware UAV Scheduling Based on Generative Diffusion-Driven MADRL for ISAC-Enabled Multi-UAV Systems".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 25(2026):9782-9798. |
入库方式： OAI收割
来源：计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。