Energy-Efficiency Computation Offloading Strategy in UAV Aided V2X Network With Integrated Sensing and Communication

Integrated Sensing and Communications (ISAC) technology can jointly design radio sensing communication functionalities, which enable 6G Ere to have the ability “see” physical world rather than communication-only. Benefitting from ISAC, vehicular-to-everything (V2X) networks may efficiently complete high-precision traffic environment perception. Furthermore, with assistance of flexibly deployed Unmanned Aerial Vehicles (UAVs), V2X overcome limited range sensors equipped on a vehicle guarantee safe driving. This paper proposes an energy-efficient computation offloading strategy for multiple sensor data fusion in UAV Aided Network supported by Communication. Firstly, vehicle-UAV cooperative perception architecture is proposed perceive wide environments. Secondly, we introduce considering decisions dynamic computing resource allocation. Finally, successive convex approximation (SCA) algorithm transforms non-convex formulation problem into tractable problem. The simulation results show that this reduces energy consumption task processing delay.