随着无线通信技术的发展,智能超表面(Reconfigurable Intelligent Surface, RIS)辅助通感一体化(Integrated Sensing and Communication, ISAC)技术越来越受到关注。针对RIS辅助ISAC系统中基站获取瞬时信道状态信息(Channel State Infor...随着无线通信技术的发展,智能超表面(Reconfigurable Intelligent Surface, RIS)辅助通感一体化(Integrated Sensing and Communication, ISAC)技术越来越受到关注。针对RIS辅助ISAC系统中基站获取瞬时信道状态信息(Channel State Information, CSI)开销过大的问题,提出了一种利用统计CSI的联合波束成形设计方案。利用统计信道状态信息,分析了系统遍历速率的确定性等价式;在感知性能约束下,通过最大化该确定性等价式,提出了一种设计最优基站发送协方差矩阵和RIS对角相移矩阵的交替优化算法;仿真结果验证了所提方案的有效性,并揭示了通信与感知性能之间的折中关系。展开更多
Performance of the Adaptive Coding and Modulation(ACM) strongly depends on the retrieved Channel State Information(CSI),which can be obtained using the channel estimation techniques relying on pilot symbol transmissio...Performance of the Adaptive Coding and Modulation(ACM) strongly depends on the retrieved Channel State Information(CSI),which can be obtained using the channel estimation techniques relying on pilot symbol transmission.Earlier analysis of methods of pilot-aided channel estimation for ACM systems were relatively little.In this paper,we investigate the performance of CSI prediction using the Minimum Mean Square Error(MMSE)channel estimator for an ACM system.To solve the two problems of MMSE:high computational operations and oversimplified assumption,we then propose the Low-Complexity schemes(LC-MMSE and Recursion LC-MMSE(R-LC-MMSE)).Computational complexity and Mean Square Error(MSE) are presented to evaluate the efficiency of the proposed algorithm.Both analysis and numerical results show that LC-MMSE performs close to the wellknown MMSE estimator with much lower complexity and R-LC-MMSE improves the application of MMSE estimation to specific circumstances.展开更多
基金supported by the 2011 China Aerospace Science and Technology Foundationthe Certain Ministry Foundation under Grant No.20212HK03010
文摘Performance of the Adaptive Coding and Modulation(ACM) strongly depends on the retrieved Channel State Information(CSI),which can be obtained using the channel estimation techniques relying on pilot symbol transmission.Earlier analysis of methods of pilot-aided channel estimation for ACM systems were relatively little.In this paper,we investigate the performance of CSI prediction using the Minimum Mean Square Error(MMSE)channel estimator for an ACM system.To solve the two problems of MMSE:high computational operations and oversimplified assumption,we then propose the Low-Complexity schemes(LC-MMSE and Recursion LC-MMSE(R-LC-MMSE)).Computational complexity and Mean Square Error(MSE) are presented to evaluate the efficiency of the proposed algorithm.Both analysis and numerical results show that LC-MMSE performs close to the wellknown MMSE estimator with much lower complexity and R-LC-MMSE improves the application of MMSE estimation to specific circumstances.
