STAR-RIS辅助的星地融合网络通感一体化OA

To address the degradation of sensing and communication performance caused by limited line-of-sight links in 6G satellite-terrestrial integrated networks,a simultaneous transmitting and reflecting reconfigurable intelligent surface(STAR-RIS)is employed for dynamic wireless environment reconstruction.Based on this,a STAR-RIS-assisted satellite-terrestrial collaborative integrated sensing and communication scheme is proposed to enhance system performance through a joint optimization framework.First,a system architecture comprising low Earth orbit satellites,STAR-RIS,ground users,and a sensing target is established,and a cascaded channel model under Rician fading is derived to characterize the relationship between STAR-RIS parameters and link quality.Second,a comprehensive performance metric based on sensing mutual information is proposed,and a sensing optimization model is constructed under communication quality-of-service constraints,revealing the coupling relationships among subcarriers,transmit power,and STAR-RIS coefficients.Finally,an efficient alternating optimization algorithm is designed to solve the model.Simulation results demonstrate that the proposed approach achieves approximately 6 bits/s/Hz improvement in sensing mutual information compared to traditional schemes without STAR-RIS,and shows stronger robustness with dynamic variations in STAR-RIS unit numbers.The findings provide valuable insights into dynamic resource allocation in 6G satellite-terrestrial integrated networks and are applicable to emergency communications and wide-area monitoring scenarios.