Beamforming Design for ISCC Systems with Reconfigurable Intelligent Surfaces

The deployment of various emerging wireless services has necessitated that sixth-generation (6G) wireless networks integrate sensing, computing and communication within the same radio spectrum. However, it is challenging to improve the performance of the integrated sensing, communication, and computation (ISCC) systems in complex propagation environment. In this paper, we investigate the beamforming design problem in reconfigurable intelligent surfaces (RIS)-aided ISCC systems, where an RIS can provide additional spatial degree of freedom. To this end, we first formulate a joint beamforming problem for RIS-aided ISCC, aiming to concurrently improve the performance for multiple target sensing, multi-dimensional computation, and multi-stream communication. Then we present joint optimization of various performances (JOVP) algorithm that minimizes the sum mean square error (MSE) of various demands under power constraints. Next, we analyze the impact of key system parameters on the overall performance of ISCC, providing valuable guidelines for system design. Finally, simulation shows that the sensing error of JOVP algorithm is reduced by at least 46.7% compared with the existing popular algorithms, while the computation rate and communication rate are increased by more than 49.1% and 22.2%, respectively.