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Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges
IEEE Journal on Selected Areas in Communications ( IF 13.8 ) Pub Date : 2024-07-10 , DOI: 10.1109/jsac.2024.3423629
Yang Yang 1 , Mingzhe Chen 2 , Yufei Blankenship 3 , Jemin Lee 4 , Zabih Ghassemlooy 5 , Julian Cheng 6 , Shiwen Mao 7
Affiliation  

Positioning has recently received considerable attention as a key enabler in emerging applications such as extended reality, unmanned aerial vehicles, and smart environments. These applications require both data communication and high-precision positioning, and thus they are particularly well-suited to be offered in wireless networks (WNs). The purpose of this paper is to provide a comprehensive overview of existing works and new trends in the field of positioning techniques from both academic and standard perspectives. The paper provides a comprehensive overview of indoor positioning in WNs, covering the background, applications, measurements, state-of-the-art technologies, and future challenges. The paper outlines the applications of positioning from the perspectives of public facilities, enterprises, and individual users. We investigate the key performance indicators and measurements of positioning systems, followed by the review of the key enabler techniques such as artificial intelligence/large models and adaptive systems. Next, we discuss a number of typical wireless positioning technologies. We extend our overview beyond the academic progress, to include the standardization efforts, and finally, we provide insight into the challenges that remain. The comprehensive overview of existing efforts and new trends in the field of indoor positioning from both academic and standardization perspectives would be a useful reference to researchers in the field.

中文翻译:


使用无线网络定位:应用、最新进展和未来挑战



定位作为扩展现实、无人机和智能环境等新兴应用的关键推动者,最近受到了广泛关注。这些应用需要数据通信和高精度定位,因此特别适合在无线网络(WN)中提供。本文的目的是从学术和标准的角度全面概述定位技术领域的现有工作和新趋势。本文全面概述了无线网络中的室内定位,涵盖背景、应用、测量、最先进的技术和未来的挑战。文章从公共设施、企业、个人用户的角度概述了定位的应用。我们研究了定位系统的关键性能指标和测量,然后回顾了人工智能/大​​型模型和自适应系统等关键推动技术。接下来我们讨论一些典型的无线定位技术。我们将我们的概述扩展到学术进展之外,包括标准化工作,最后,我们深入了解仍然存在的挑战。从学术和标准化角度全面概述室内定位领域的现有工作和新趋势,将为该领域的研究人员提供有益的参考。
更新日期:2024-07-10
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