基于sdr的开源平台的5G定位:我们站在哪里?

Ivan Palamà, Stefania Bartoletti, G. Bianchi, N. Blefari-Melazzi
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引用次数: 1

摘要

虽然GPS传统上是主要的定位技术,但3GPP最近开始将定位服务作为下一代蜂窝网络的原生内置功能。随着3GPP第16版于2021年定稿,5G网络定位的重大标准化工作已经开始,特别是在物理层信号、测量、方案和架构方面,以满足广泛的监管、商业和工业用例的要求。然而,旨在评估5G定位实际性能的实验驱动研究仍然滞后,其根本原因是1)定位技术在开源5G框架中的集成缓慢,2)5G定位测试平台的设置和合理配置的复杂性,3)多基站部署的成本。本文对这些方面都作了一些阐述。在简要概述了5G定位的最新技术及其在基于软件定义无线电的开源平台中的支持之后,我们提供了关于如何设置定位试验台的建议,并且我们通过一组真实世界的测量来演示如何评估参考信号配置,定位算法和网络部署等方面,即使是在成本受限的有限尺寸的试验台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
5G Positioning with SDR-based Open-source Platforms: Where do We Stand?
While GPS has traditionally been the primary positioning technology, 3GPP has more recently begun to include positioning services as native, built-in features of future-generation cellular networks. With Release 16 of the 3GPP, finalized in 2021, a significant standardization effort has taken place for positioning in 5G networks, especially in terms of physical layer signals, measurements, schemes, and architecture to meet the requirements of a wide range of regulatory, commercial and industrial use cases. However, experimentally-driven research aiming to assess the real-world performance of 5G positioning is still lagging behind, root causes being i) the slow integration of positioning technologies in open-source 5G frameworks, ii) the complexity in setting up and properly configuring a 5G positioning testbed and iii) the cost of a multi-BS deployment. This paper sheds some light on all such aspects. After a brief overview of state of the art in 5G positioning and its support in open-source platforms based on software-defined radios, we provide advice on how to set-up positioning testbeds, and we demonstrate, via a set of real-world measurements, how to assess aspects such as reference signal configurations, localization algorithms, and network deployments, even with a cost-constrained limited-size testbed.
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