论文标题
基于MCRB的6G本地化性能分析在硬件障碍下
MCRB-based Performance Analysis of 6G Localization under Hardware Impairments
论文作者
论文摘要
预计位置信息将是满足6G系统中通信和上下文感知服务需求的关键。使用上行链路或下行链路飞行员信号基于延迟和/或角度估计来实现用户本地化。但是，硬件障碍（HWIS）会扭曲发射器和接收器侧的信号，从而影响本地化性能。虽然可以在较低的HWIS不太严重的频率下忽略这种影响，但需要6G的建模和分析工作来评估由于HWIS引起的定位降解。在这项工作中，我们对各种类型的障碍进行了建模，并进行了错误指定的Cramér-Rao结合分析，以评估HWI诱导的性能损失。使用不同类型的HWI的仿真结果表明，每个HWI在角度和延迟估计性能上导致不同的降解水平。
Location information is expected to be the key to meeting the needs of communication and context-aware services in 6G systems. User localization is achieved based on delay and/or angle estimation using uplink or downlink pilot signals. However, hardware impairments (HWIs) distort the signals at both the transmitter and receiver sides and thus affect the localization performance. While this impact can be ignored at lower frequencies where HWIs are less severe, modeling and analysis efforts are needed for 6G to evaluate the localization degradation due to HWIs. In this work, we model various types of impairments and conduct a misspecified Cramér-Rao bound analysis to evaluate the HWI-induced performance loss. Simulation results with different types of HWIs show that each HWI leads to a different level of degradation in angle and delay estimation performance.
