Soft Information-Based Localization for 5G Networks and Beyond
Soft Information-Based Localization for 5G Networks and Beyond
复制标题
DOI：
10.1109/twc.2023.3275122
复制
发表时间：
2023-12
影响因子：
10.4
通讯作者：
Flavio Morselli;Sara Modarres Razavi;M. Win;A. Conti
中科院分区：
文献类型：
--
作者：
Flavio Morselli;Sara Modarres Razavi;M. Win;A. Conti
准确的位置信息对于第五代（5G）无线网络支持的各种新垂直领域和用例至关重要。虽然用于蜂窝网络的现有定位技术在标准化过程中不断发展，但是还没有满足由第三代合作伙伴计划（3GPP）定义的严格的关键性能指标要求。本文首先对可用于当前5G网络中用户设备定位的标准化参考信号和基于时间/角度的测量进行了深入回顾。然后，本文详细介绍了一种基于软信息（SI）的方法的开发，该方法可显着提高5G及5G以上网络的定位精度。在两个标准化场景中，即城市微小区和室内开放办公室，使用基于时间/角度的测量，获得完全符合3GPP标准的结果。结果表明，提出的基于SI的定位方法显着优于现有技术，特别是在考虑恶劣的传播条件和更高（毫米波）频率时，为5G及其他无线网络中的新服务和性能增强铺平了道路。
Accurate location information is crucial for a variety of new verticals and use cases enabled by 5th generation (5G) wireless networks. While existing localization techniques for cellular networks are continuously evolving in the standardization process, the stringent key performance indicator requirements defined by the 3rd Generation Partnership Project (3GPP) have not been met yet. This paper first provides an in-depth review of the standardized reference signals and time/ angle-based measurements that can be used for localization of user equipments in current 5G networks. Then, the paper details the development of a soft information (SI)-based approach that significantly improves localization accuracy for 5G and beyond 5G networks. Results are obtained in full conformity with 3GPP standards in two standardized scenarios, namely urban microcell and indoor open office, using time/angle-based measurements. Results show that the proposed SI-based localization methods significantly outperform existing techniques, especially when harsh propagation conditions and higher (millimeter Waves) frequencies are considered, paving the way to new services and performance enhancements in 5G and beyond wireless networks.