On the Performance of AoA based Localization in 5G Ultra Dense Networks

Estifanos Menta, Nicolas Malm, Riku Jäntti, Kalle Ruttik, M. Costa, K. Leppänen.

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
171 Downloads (Pure)

Abstract

Cellular systems are undergoing a transformation toward the fifth generation (5G). Envisioned applications in 5G include intelligent transport system (ITS), autonomous vehicles, and robots as a part of future roads, factories, and society. These applications rely to a great extent on accurate and timely location information of connected devices. This paper proposes a practical scheme for acquiring precise and timely position information by means of a user-centric ultra-dense network (UDN) architecture based on an edge cloud. The considered solution consists of estimating and tracking the azimuth angle-of-arrival (AoA) of the line-of-sight (LoS)-path between a device and multiple transmission-reception points (TRPs), each having a uniform linear antenna array (ULA). AoA estimates from multiple TRPs are fused into position estimates at the edge cloud to obtain timely position information. The extensive measurements have been carried out using a proof-of-concept software-defined-radio (SDR) testbed in order to experimentally assess the achievable positioning accuracy of the proposed architecture. A realistic UDN deployment scenario has been considered in which TRPs consist of antenna arrays mounted on lamp posts. Our results show that practical UDNs can provide sub-meter positioning accuracy of mobile users by employing ULAs with at least four antennas per TRP and by taking into account the non-idealities of the ULAs' phase and magnitude response.

Original languageEnglish
Article number8662565
Pages (from-to)33870-33880
Number of pages11
JournalIEEE Access
Volume7
Early online date2019
DOIs
Publication statusPublished - 1 Jan 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • 5G mobile communication
  • Antenna arrays
  • Radio frequency
  • Estimation
  • Computer architecture
  • Azimuth
  • Roads
  • AoA
  • localization
  • position
  • UDN
  • edge cloud

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  • Projects

    PriMO-5G: Virtual Presence in Moving Objects through 5G

    Mutafungwa, E., Jäntti, R., Menta, E., Lassila, P. & Sheikh, M.

    01/07/201831/12/2021

    Project: EU: Framework programmes funding

    TAKE-5 - Jäntti

    Menta, E., Ruttik, K., Jäntti, R., Marttinen, A., Kerttula, J., Lehtinen, K. & Härkönen, I.

    01/10/201530/04/2019

    Project: Business Finland: Other research funding

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