Mobility-Aware Resource Allocation in UAV-Assisted ISAC Networks

Abstract

In a dynamic environment with varying degrees of mobile ground users, optimizing the placement of UAVs are important in improving network throughput. Moreover, for integrated sensing and communication (ISAC) enabled UAV-BSs, the resource allocation for sensing and communication relies on the dynamic nature of the network environment. To keep track of the changes in the environment UAVs are required to continuously update their trajectory, the UAV trajectory update interval is also a crucial parameter that impacts the network performance; hence, characterizing the users' mobility level is an important tool to improve the UAV trajectory optimization. In this paper, we propose a mobility-aware resource allocation for joint sensing and communication. Our results demonstrate that the proposed algorithm can improve the resource allocation between sensing and communication in an ISAC-enabled UAV-assisted network.