双RIS辅助多用户通感一体化混合波束成形设计OA

Integrated sensing and communications(ISAC)is a core technology for low-altitude infrastructure,but its line-of-sight dependence limits performance in complex environments.Reconfigurable intelligent surface(RIS)provides an effective solution to this issue.The multi-user sum-rate maximization problem was investigated for dual-RIS ISAC sys-tems under transmit power and sensing constraints,via jointly optimizing hybrid sensing-communication beamforming and RIS phase shifts.The problem was demonstrated to be highly non-convex due to the tight coupling among multiple optimization variables,and it was considered extremely difficult to be solved directly.Semi-definite relaxation and suc-cessive convex approximation were jointly utilized to reconstruct and decouple the original problem,and a joint optimi-zation algorithm based on alternating optimization was further proposed for an efficient solution.The performance im-provement brought by dual RIS to the ISAC system was verified by the simulation results,and the superiority of the pro-posed algorithm was also confirmed.