论文标题
基于5G新收音机的关节感测和沟通的系统级分析
System-Level Analysis of Joint Sensing and Communication based on 5G New Radio
论文作者
论文摘要
这项工作研究了基于多输入多输出（MIMO）5G新无线电（NR）波形的多冰系统用于关节感应和通信（JSC）。特别是，我们考虑使用一个单静力传感器的基站（BS），该传感器通过横梁扫描多个靶标估计多个目标的到达范围，速度和方向（DOA）。然后通过范围和DOA估计获得目标位置。我们从检测可能性和均方根平方误差（RMSE）的位置和速度估计的目标估计（LOS）条件下的速度估计来得出感应性能。此外，使用最佳子图案（OSPA）度量，我们在存在多个目标时评估系统性能。最后，我们对影响性能的主要因素进行了深入的研究，包括保留用于传感的功率的比例。
This work investigates a multibeam system for joint sensing and communication (JSC) based on multiple-input multiple-output (MIMO) 5G new radio (NR) waveforms. In particular, we consider a base station (BS) acting as a monostatic sensor that estimates the range, speed, and direction of arrival (DoA) of multiple targets via beam scanning using a fraction of the transmitted power. The target position is then obtained via range and DoA estimation. We derive the sensing performance in terms of probability of detection and root mean squared error (RMSE) of position and velocity estimation of a target under line-of-sight (LOS) conditions. Furthermore, we evaluate the system performance when multiple targets are present, using the optimal sub-pattern assignment (OSPA) metric. Finally, we provide an in-depth investigation of the dominant factors that affect performance, including the fraction of power reserved for sensing.
