INTEGRATING SENSING, COMMUNICATIONS, EDGE COMPUTING AND RF POWER TRANSFER FOR VEHICULAR NETWORKS

Abstract

This paper analyzes the performance of an integrated sensing, communication, and computation (ISCC) vehicular network incorporating RF energy harvesting. Our system model consists of multiple resource-constrained in-vehicle users connected using non-orthogonal multiple access (NOMA) to offload tasks to a vehicle-mounted base station via backscatter communication. The users employ a partial handover strategy: the users harvest RF energy from the base station to execute a part of the task locally, transferring the remaining portion to the base station server. Next, we derive an approximate closed-form expression for the energy-constrained successful sensing and computation probability (E-SSCP) by integrating sensing, energy harvesting, and delay modeling. Subsequently, we investigate how key parameters affect the system performance to understand the behavior of the proposed framework. Finally, simulation results validate our theoretical analysis.