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Prospective UAV-Assisted Positioning Architecture and Technologies for 6G Network Edge

  • Qirui Liu
  • , Rongke Liu
  • , Chenren Xu*
  • *此作品的通讯作者
  • Peking University
  • Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Positioning enhancement remains a pivotal technology in the evolution of both the fifth-generation advanced (5G-A) and 6G mobile communication networks, expected to offer users broader coverage, reduced latency, and more accurate and efficient positioning services based on 5G infrastructure. While in scenarios with inadequate coverage due to the sparse deployment of (both fixed and mobile) terrestrial base stations (BSs) or poor signal quality, uncrewed aerial vehicles (UAVs) can be flexibly deployed on a large scale. These UAVs act as edge reference BSs for 6G, providing on-demand positioning and other sensing-related services, such as logistics tracking and emergency search. In this article, we provide an extensive overview of UAV-assisted positioning architectures and summarize recent research advances, complete with detailed examples that illuminate the system operational processes. We also investigate key open issues and future research directions in UAV-assisted network systems, incorporating new 6 G features. This article outlines a road map for advancing various communication and sensing applications critical to 6G edge intelligence.

源语言英语
页(从-至)61-68
页数8
期刊IEEE Network
卷39
期2
DOI
出版状态已出版 - 3月 2025

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