论文标题

可重新配置的智能表面辅助全双工系统的联合定位和信息传输

Joint Localization and Information Transfer for Reconfigurable Intelligent Surface Aided Full-Duplex Systems

论文作者

Shao, Zhichao, Yuan, Xiaojun, Zhang, Wei, Di Renzo, Marco

论文摘要

在这项工作中,我们研究了可重新配置的智能表面(RIS)辅助集成的感应和通信方案,其中基站(BS)在全双工模式下与多个设备进行通信,并同时感知这些设备的位置。假定将RIS安装在每个设备上,以增强反射回声。同时,每个设备的信息通过反射调制被动地传输到BS。我们旨在解决BS联合定位和信息检索的问题。构建了基于网格的参数模型,并将关节估计问题提出为压缩感应问题。我们提出了一种新的消息通讯算法来解决所考虑的问题,并提出了一种逐渐近似方法,以降低消息传递所涉及的计算复杂性。此外,将期望最大化(EM)算法用于调整网格参数以减轻模型不匹配问题。最后,我们通过贝叶斯cramér-rao结合分析了所提出的算法的功效。数值结果证明了所提出的方案的可行性以及所提出的基于EM的消息通话算法的出色性能。

In this work, we investigate a reconfigurable intelligent surface (RIS) aided integrated sensing and communication scenario, where a base station (BS) communicates with multiple devices in a full-duplex mode, and senses the positions of these devices simultaneously. An RIS is assumed to be mounted on each device to enhance the reflected echoes. Meanwhile, the information of each device is passively transferred to the BS via reflection modulation. We aim to tackle the problem of joint localization and information retrieval at the BS. A grid based parametric model is constructed and the joint estimation problem is formulated as a compressive sensing problem. We propose a novel message-passing algorithm to solve the considered problem, and a progressive approximation method to reduce the computational complexity involved in the message passing. Moreover, an expectation-maximization (EM) algorithm is applied for tuning the grid parameters to mitigate the model mismatch problem. Finally, we analyze the efficacy of the proposed algorithm through the Bayesian Cramér-Rao bound. Numerical results demonstrate the feasibility of the proposed scheme and the superior performance of the proposed EM-based message-passing algorithm.

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