Optimizing Joint Computation Offloading and Target Tracking in ISAC-Enabled UAV Networks

The paper investigates the joint optimization of computation offloading and target tracking in an integrated sensing and communication (ISAC)-enabled unmanned aerial vehicle (UAV) network. The goal is to minimize the overall computation latency and the Cramer-Rao lower bound (CRB) of the mean square error for velocity estimation, subject to the UAV's budget constraints.