AoI-Optimal Trajectory Planning in UAV-Assisted ISAC Networks

Abstract

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.