xG-Loc: 3GPP-compliant datasets for xG location-aware networks

Location awareness is vital in next generation (xG) wireless networks to enable different use cases, including location-based services (LBSs) and efficient network management. However, achieving the service level requirements specified by the 3rd Generation Partnership Project (3GPP) is challenging. This calls for new localization algorithms as well as for 3GPP-standardized scenarios to support their systematic development and testing. In this context, the availability of public datasets with 3GPP-compliant configurations is essential to advance the evolution of xG networks. xG-Loc is the first open dataset for localization algorithms and services fully compliant with 3GPP technical reports and specifications. xG-Loc includes received localization signals, measurements, and analytics for different network and signal configurations in indoor and outdoor scenarios with center frequencies from micro-waves in frequency range 1 (FR1) to millimeter-waves in frequency range 2 (FR2). Position estimates obtained via soft information-based localization and wireless channel quality via blockage intelligence are also included in xG-Loc. The rich set of data provided by xG-Loc enables the characterization of localization algorithms and services under common 3GPP-standardized scenarios in xG networks.位置感知对于下一代（xG）无线网络至关重要，以实现各类用例，包括基于位置的服务（location-based services, LBSs）以及高效网络管理。然而，满足第三代合作伙伴计划（3rd Generation Partnership Project, 3GPP）制定的服务等级要求颇具难度。这亟需新型定位算法，以及符合3GPP标准的测试场景，以支撑定位算法的系统化研发与验证。在此背景下，具备3GPP兼容配置的公开数据集，对于推动xG网络的演进至关重要。xG-Loc是首款完全符合3GPP技术报告与规范的定位算法及服务开源数据集。xG-Loc涵盖室内外场景下不同网络与信号配置下的接收定位信号、测量数据与分析结果，其中心频率覆盖频率范围1（frequency range 1, FR1）的微波至频率范围2（frequency range 2, FR2）的毫米波。基于软信息的定位得到的位置估计结果，以及通过遮挡智能分析得到的无线信道质量数据也被纳入xG-Loc数据集。xG-Loc所提供的丰富数据集，可支撑在xG网络的通用3GPP标准场景下，对定位算法与服务进行性能表征与评估。

搜集汇总

背景与挑战

背景概述

xG-Loc是首个完全符合3GPP技术规范的开源数据集，专为下一代（xG）无线网络中的定位算法和服务设计。它提供了室内外多种场景下的接收定位信号、测量数据和分析，覆盖从微米波到毫米波的频率范围，并包含基于软信息的定位估计和无线信道质量信息，以支持3GPP标准化场景下的系统开发和测试。