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User Localization using Random Access Channel Signals in LTE Networks with Massive MIMO

Fedorov, Aleksei LU ; Zhang, Haibo and Chen, Yawen (2018)
Abstract
Recent studies show that real-time precise user localization enables to deliver accurate beamforming in MIMO systems without the need for channel estimation. This paper presents new solutions for accurate user localization in massive MIMO LTE systems. A key novelty of the developed schemes is the ability to locate users during LTE's random access channel synchronization procedure before they are connected to the network, by which the obtained location information can be immediately used to optimize the allocation of radio resource and perform accurate beamforming. To achieve this, the developed solutions leverage the advantages of spherical wave propagation since it allows simultaneously estimating the angle of arrival and the propagation... (More)
Recent studies show that real-time precise user localization enables to deliver accurate beamforming in MIMO systems without the need for channel estimation. This paper presents new solutions for accurate user localization in massive MIMO LTE systems. A key novelty of the developed schemes is the ability to locate users during LTE's random access channel synchronization procedure before they are connected to the network, by which the obtained location information can be immediately used to optimize the allocation of radio resource and perform accurate beamforming. To achieve this, the developed solutions leverage the advantages of spherical wave propagation since it allows simultaneously estimating the angle of arrival and the propagation distance from the user equipment to each antenna element in the base station. We design solutions for both single-path line-of-sight communication and multi-path propagation environments. The developed schemes were evaluated through both simulations and proof-of-concept experiments. Simulation results show that both algorithms can achieve decimeter-level localization accuracy using 64 and more antenna elements for the distances up to 300 meters. The proof-of-concept experiment justifies the feasibility of user localization based on the estimation of the shape of the incoming wavefront. (Less)
Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
keywords
User localization, random-access channel, spherical wave propagation, massive MIMO, Phase noise, Phase noise measurement, phase noise analysis
host publication
2018 27th International Conference on Computer Communication and Networks (ICCCN)
pages
10 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85060473609
ISBN
978-1-5386-5156-8
978-1-5386-5157-5
DOI
10.1109/ICCCN.2018.8487359
language
English
LU publication?
no
id
03db0d55-48bc-4699-9f33-ac663f0549c3
date added to LUP
2019-06-28 15:57:31
date last changed
2020-12-01 02:36:28
@inproceedings{03db0d55-48bc-4699-9f33-ac663f0549c3,
  abstract     = {Recent studies show that real-time precise user localization enables to deliver accurate beamforming in MIMO systems without the need for channel estimation. This paper presents new solutions for accurate user localization in massive MIMO LTE systems. A key novelty of the developed schemes is the ability to locate users during LTE's random access channel synchronization procedure before they are connected to the network, by which the obtained location information can be immediately used to optimize the allocation of radio resource and perform accurate beamforming. To achieve this, the developed solutions leverage the advantages of spherical wave propagation since it allows simultaneously estimating the angle of arrival and the propagation distance from the user equipment to each antenna element in the base station. We design solutions for both single-path line-of-sight communication and multi-path propagation environments. The developed schemes were evaluated through both simulations and proof-of-concept experiments. Simulation results show that both algorithms can achieve decimeter-level localization accuracy using 64 and more antenna elements for the distances up to 300 meters. The proof-of-concept experiment justifies the feasibility of user localization based on the estimation of the shape of the incoming wavefront.},
  author       = {Fedorov, Aleksei and Zhang, Haibo and Chen, Yawen},
  booktitle    = {2018 27th International Conference on Computer Communication and Networks (ICCCN)},
  isbn         = {978-1-5386-5156-8},
  language     = {eng},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {User Localization using Random Access Channel Signals in LTE Networks with Massive MIMO},
  url          = {https://lup.lub.lu.se/search/ws/files/66752517/My2_RACH_Localization.pdf},
  doi          = {10.1109/ICCCN.2018.8487359},
  year         = {2018},
}