3GPP-Compliant Datasets for xG Location-Aware Networks
3GPP-Compliant Datasets for xG Location-Aware Networks
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DOI：
10.1109/ojvt.2023.3340993
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发表时间：
2024
影响因子：
6.4
通讯作者：
Andrea Conti;Gianluca Torsoli;C. A. Gómez-Vega;Alessandro Vaccari;Gianluca Mazzini;M. Win
中科院分区：
文献类型：
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作者：
Andrea Conti;Gianluca Torsoli;C. A. Gómez-Vega;Alessandro Vaccari;Gianluca Mazzini;M. Win
位置感知在下一代(XG)无线网络中至关重要，以支持不同的使用案例，包括基于位置的服务(LBS)和高效的网络管理。然而，实现第三代合作伙伴计划(3GPP)规定的服务级别要求是具有挑战性的。这需要新的定位算法以及3GPP标准化的场景来支持它们的系统开发和测试。在这种情况下，具有3GPP兼容配置的公共数据集的可用性对于推动xG网络的演进至关重要。本文介绍了XG-Loc，这是第一个完全符合3GPP技术报告和规范的开放的定位算法和服务数据集。XG-Loc包括室内和室外场景中不同网络和信号配置的接收定位信号、测量和分析，中心频率从频率范围1(FR1)的微波到频率范围2(FR2)的毫米波。还提供了通过基于软信息的定位获得的位置估计和通过阻塞智能获得的无线信道质量指示器。XG-Loc提供的丰富数据集使xG网络中常见的3GPP标准化场景下的定位算法和服务得以表征。
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. This paper introduces xG-Loc, 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 indicators via blockage intelligence are also provided. 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.