Joint Task-Trajectory and Location Sense Optimization for UAV-enabled Communication Computation and Sense System

Integrated communication computation and sensing becomes a key technology for 6G system. With radio frequency (RF) sensing, mobile users can more easily receive communication and computation services from 6G providers, to support applications like VR, XR and Meta Universe. This paradigm shift will be particularly considered in 6G emergency scenarios, where UAV s are intensively applied. To this end, we consider the UAV-enabled Communication Computation and Sensing system, where multiple UAVs in the air provide communication and computation services to ground terminals (GTs), and each UAV has the RF sensing ability to sense the location of G Ts with acceptable accuracy. We further formulate the joint optimization of UAV trajectory, task offloading and G T location sensing as a multi-constrained non-linear problem. The problem will be tackled using a Successive Convex Approximation (SCA) method to obtain a sub-optimal solution. With such solution, UAV swill provide communication and computation services with higher QoS on latency, and the UAV will work in a better energy efficient way. In the end, we provide numerical results to validate that the proposed solution does improve the performances of the considered system.