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AoI-Optimal Trajectory Planning in UAV-Assisted ISAC Networks

  • Qian Zhu
  • , Rongke Liu*
  • , Xianglong Lv
  • , Quanyu Meng
  • , Yanzhe Wang
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Integrated sensing and communication (ISAC) technology based on space-based unmanned platform has recently been recognized as an indispensable functionality for the upcoming Sixth Generation (6G) wireless networks. However, in harsh environments such as isolated mountains, the age of information (AoI) of sensing-communication service for unmanned aerial vehicles (UAVs), still seriously affects the system performance. In this paper, we focus on the AoI-optimal trajectory planning problem for UAV in ISAC networks. In particular, we take the geometry of the UAV as the anchor node into consideration in the trajectory planning process, and use dynamic programming (DP) algorithm to optimize the communication AoI of UAV while ensuring the system positioning performance. Numerical results demonstrate that the proposed scheme achieves significant performance gains in both sensing and communication, as compared with conventional random benchmarks.

源语言英语
主期刊名2023 IEEE 23rd International Conference on Communication Technology
主期刊副标题Advanced Communication and Internet of Things, ICCT 2023
出版商Institute of Electrical and Electronics Engineers Inc.
428-433
页数6
ISBN(电子版)9798350325959
DOI
出版状态已出版 - 2023
活动23rd IEEE International Conference on Communication Technology, ICCT 2023 - Wuxi, 中国
期限: 20 10月 202322 10月 2023

出版系列

姓名International Conference on Communication Technology Proceedings, ICCT
ISSN(印刷版)2576-7844
ISSN(电子版)2576-7828

会议

会议23rd IEEE International Conference on Communication Technology, ICCT 2023
国家/地区中国
Wuxi
时期20/10/2322/10/23

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