面向下一代网络的基于HRIS与反向散射调制的用户定位
User Localization with HRIS and Backscatter Modulation for Next-Generation Networks
AI总结：
本文提出一种基于HRIS的两步用户定位协议，通过全吸收模式估计AoA并利用反向散射调制传递信息，结合ToF估计实现定位，数值结果验证了其有效性。
摘要：
混合可反射智能表面（HRISs）能够支持第六代（6G）网络中的定位，这得益于其生成窄波束并同时接收和本地处理入射信号的能力。在本文中，我们提出了一种在包含HRIS的网络中进行用户定位的新协议。该协议包含两个步骤。在第一步中，HRIS以全吸收模式运行，用户设备（UE）发射一个信号，该信号在HRIS处进行本地处理以估计到达角（AoA）。在第二步中，基站向UE发射下行链路参考信号，HRIS通过反向散射调制叠加一条消息。该消息包含先前估计的AoA信息。最后，已知HRIS位置的UE从第二步的信号中估计飞行时间（ToF），并解调AoA信息以获得对其自身位置的估计。数值结果证实了所提解决方案的有效性，并与估计量的Cramér Rao下界进行了比较。
英文摘要：
Hybrid reflective intelligent surfaces (HRISs) can support localization in sixth-generation (6G) networks thanks to their ability to generate narrow beams and at the same time receive and process locally the impinging signals. In this paper, we propose a novel protocol for user localization in a network with an HRIS. The protocol includes two steps. In the first step, the HRIS operates in full absorption mode and the user equipment (UE) transmits a signal that is locally processed at the HRIS to estimate the angle of arrival (AoA). In the second step, the base station transmits a downlink reference signal to the UE, and the HRIS superimposes a message by a backscatter modulation. The message contains information on the previously estimated AoA. Lastly, the UE, knowing the position of the HRIS, estimates the time of flight (ToF) from the signal of the second step and demodulates the information on the AoA to obtain an estimate of its location. Numerical results confirm the effectiveness of the proposed solution, also in comparison with the Cramér Rao lower bound on the estimated quantities.nd on the estimated quantities.
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