标题： 层次化定位用于集成感知和通信 显示英文标题

标题： Hierarchical Localization for Integrated Sensing and Communication

摘要： 定位预计将在未来的无线网络中发挥重要作用，因为定位和情境感知、导航和追踪是6G应用场景的重要组成部分。然而，在许多情况下，定位需要额外的设备，这会干扰通信系统，并且还需要额外的资源。另一方面，高频和高度定向的通信提供了在角度和范围域中改进分辨率能力的新框架。正在探索集成感知和通信的实现，以统一感知和通信系统并促进通信感知的方法。为此，提出了一种利用波束成形和新兴的波束聚焦技术来估计接收器位置的定位算法。该算法可以使用大型天线阵列和大型智能表面来实现。通过蒙特卡洛模拟评估了该算法对于静态和移动用户的性能。结果通过静态和移动用户的经验累积分布函数以及静态用户成功估计的概率来呈现。 显示英文摘要

摘要： Localization is expected to play a significant role in future wireless networks as positioning and situational awareness, navigation and tracking, are integral parts of 6G usage scenarios. Nevertheless, in many cases localization requires extra equipment, which interferes with communications systems, while also requiring additional resources. On the other hand, high frequency and highly directional communications offer a new framework of improved resolution capabilities in the angular and range domains. The implementation of integrated sensing and communications is being explored to unify the sensing and communications systems and promote a communicate-to-sense approach. To this end, a localization algorithm is presented that utilizes beam-forming and the emerging beam-focusing technique, to estimate the location of the receiver. The algorithm can be implemented with large antenna arrays, and large intelligent surfaces. The performance of the algorithm for static and mobile users is evaluated through Monte-Carlo simulations. The results are presented with the empirical CDF for both static and mobile users, and the probability of successful estimation for static users.