We gratefully acknowledge support from
the Simons Foundation and member institutions.
Full-text links:

Download:

Current browse context:

eess.SP

Change to browse by:

References & Citations

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo

Electrical Engineering and Systems Science > Signal Processing

Title: A Tutorial on 5G Positioning

Abstract: The widespread adoption of the fifth generation (5G) of cellular networks has brought new opportunities for the development of localization-based services. High-accuracy positioning use cases and functionalities defined by the standards are drawing the interest of vertical industries. In the transition towards the deployment, this paper aims to provide an in-depth tutorial on 5G positioning, summarizing the evolutionary path that led to the standardization of cellular-based positioning, describing the localization elements in current and forthcoming releases of the Third Generation Partnership Project (3GPP) standard, and the major research trends. By providing fundamental notions on wireless localization, comprehensive definitions of measurements and architectures, examples of algorithms, and details on simulation approaches, this paper is intended to represent an exhaustive guide for researchers and practitioners. Our approach aims to merge practical aspects of enabled use cases and related requirements with theoretical methodologies and fundamental bounds, allowing to understand the trade-off between system complexity and achievable, i.e., tangible, benefits of 5G positioning services. We analyze the performance of 3GPP Rel-16 positioning by standard-compliant simulations in realistic outdoor and indoor propagation environments, investigating the impact of the system configuration and the limitations to be resolved for delivering accurate positioning solutions.
Comments: This work has been submitted to the IEEE Communications Surveys & Tutorials for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Subjects: Signal Processing (eess.SP)
Cite as: arXiv:2311.10551 [eess.SP]
  (or arXiv:2311.10551v2 [eess.SP] for this version)

Submission history

From: Lorenzo Italiano Dr. [view email]
[v1] Fri, 17 Nov 2023 14:34:45 GMT (26726kb,D)
[v2] Wed, 27 Mar 2024 09:36:19 GMT (27054kb,D)

Link back to: arXiv, form interface, contact.