具备互耦效应的RIS辅助MIMO系统中的联合通信与感知
Joint Communication and Sensing in RIS-Assisted MIMO System Under Mutual Coupling
AI总结：
本文研究了具备互耦效应的RIS辅助MIMO系统中的联合通信与感知问题，通过优化RIS反射系数和BS波束成形，提升通信与感知性能。
摘要：
本文考虑了一个在物理一致设定下的下行Reconfigurable Intelligent Surface（RIS）辅助联合通信与感知（JCAS）系统，考虑了由于子元件间距导致的RIS元件之间的互耦效应。该系统特征是多个输入多个输出（MIMO）陆地基站（BS）并探索了单站式和双站式雷达配置以实现联合通信与感知。在单站式配置中，发射机和接收机位于同一位置，而双站式配置则将发射机和接收机在空间上分开。系统性能通过Fisher信息（FI）来量化感知精度，并通过互信息（MI）来测量通信效率。为了在通信和感知之间实现最佳平衡，通过最大化FI和MI的加权和，对RIS反射系数和BS发射波束成形进行联合优化。提出了一种新的解决方案方法，用于单用户、单目标场景，利用互耦模型来增强系统真实性。通过信号量化研究了自干扰对感知性能的影响。数值结果揭示了FI和MI之间的根本权衡，并证明了在物理一致框架内整合互耦效应显著提高了通信和感知性能，相比传统RIS辅助JCAS模型。此外，分析还突显了单站式与双站式雷达配置选择如何影响系统性能，为RIS辅助JCAS系统的设计提供了有价值的见解。
英文摘要：
This paper considers a downlink Reconfigurable Intelligent Surface (RIS)-assisted Joint Communication and Sensing (JCAS) system within a physically-consistent setting, accounting for the effect of mutual coupling between RIS elements arising due to sub-element spacing. The system features a multiple-input multiple-output (MIMO) terrestrial base station (BS) and explores both monostatic and bistatic radar configurations to enable joint communication and sensing. In the monostatic configuration, both the transmitter and receiver are at the same location, while the bistatic configuration separates the transmitter and receiver spatially. System performance is evaluated using Fisher Information (FI) to quantify sensing accuracy and Mutual Information (MI) to measure communication efficiency. To achieve an optimal balance between communication and sensing, the RIS reflective coefficients and BS transmit beamforming are jointly optimized by maximizing a weighted sum of FI and MI. A novel solution approach is proposed for a single-user, single-object scenario, leveraging the mutual coupling model to enhance system realism. The impact of self-interference on sensing performance is also investigated through signal quantization. Numerical results reveal a fundamental trade-off between FI and MI and demonstrate that incorporating mutual coupling within a physically-consistent framework significantly improves both communication and sensing performance compared to conventional RIS-assisted JCAS models. Additionally, the analysis highlights how the choice of monostatic versus bistatic radar configuration affects system performance, offering valuable insights for the design of RIS-assisted JCAS systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
