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Volume 46 Issue 5
May  2024
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YU Baoquan, YANG Weiwei, WANG Quan, ZHANG Ruoyu, CAI Yueming. Age of Information Analysis and Optimization in Unmanned Aerial Vehicles-assisted Integrated Sensing and Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1996-2003. doi: 10.11999/JEIT231175
Citation: YU Baoquan, YANG Weiwei, WANG Quan, ZHANG Ruoyu, CAI Yueming. Age of Information Analysis and Optimization in Unmanned Aerial Vehicles-assisted Integrated Sensing and Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1996-2003. doi: 10.11999/JEIT231175

Age of Information Analysis and Optimization in Unmanned Aerial Vehicles-assisted Integrated Sensing and Communication Systems

doi: 10.11999/JEIT231175
Funds:  The National Natural Science Foundation of China (62171464, 62201266)
  • Received Date: 2023-10-30
  • Rev Recd Date: 2024-02-23
  • Available Online: 2024-03-06
  • Publish Date: 2024-05-30
  • In many monitoring and control tasks, it is difficult for the control center to get the real-time status information directly because of the distance between the monitored target and the control center. The Unmanned Aerial Vehicles (UAV) can make full use of its advantages of high mobility, reduce the sensing and communication distance, and then improve the sensing and communication capabilities, which provides a new idea for real-time acquisition of remote target status information. In this paper, the optimization problem of Age of Information (AoI) analysis in UAV-assisted integrated sensing and communication system is studied. Firstly, the status update process of control center is analyzed, and then the closed-form expression of average peak AoI is derived. Further, in the multi-UAV multi-target scenario, the average peak AoI of the system is further reduced by optimizing the perception position and communication position of the UAV in the air, as well as the matching relationship between the UAV and the target, and the real-time status update is improved. The simulation results verify the correctness of the theoretical analysis, and show that the proposed optimization method can effectively improve the AoI performance of the system compared with the benchmark methods.
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