Reconfigurable Intelligent Surface assisted Integrated Sensing, Communication and Computation Systems

This paper investigates a reconfigurable intelligent surface (RIS)-assisted integrated sensing, communication, and computation (ISCC) system. In this paradigm, the integrated sensing and communication (ISAC)-enabled user equipments (UEs) simultaneously detect the target and offload the computational tasks of radar sensing to the edge computing server (ECS) through their communication functionality. To enhance the efficiency of computation offloading, we deploy an RIS to mitigate the high attenuation between UEs and the ECS. A latency minimization problem is investigated with constraints on UE's transmit power, radar signal-to-interference-plus-noise ratio (SINR), RIS phase shift, and computation capability. We propose an algorithm based on the block coordinate descent (BCD) method to decouple the original problem into two subproblems, and then the computational and beamforming variables are optimized alternately utilizing efficient iterative algorithms. Simulation results demonstrate the effectiveness of our proposed algorithm.