User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels

Intelligent reflecting surfaces (IRSs) in the millimeter-wave (mmWave) and terahertz (THz) frequency bands offer precise wireless localization capabilities for future networks. This paper introduces a localization scheme leveraging multiple IRSs with a single receive radio frequency chain and basic...

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Main Authors: Mojtaba Ghermezcheshmeh, Nikola Zlatanov
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10301422/
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author Mojtaba Ghermezcheshmeh
Nikola Zlatanov
author_facet Mojtaba Ghermezcheshmeh
Nikola Zlatanov
author_sort Mojtaba Ghermezcheshmeh
collection DOAJ
description Intelligent reflecting surfaces (IRSs) in the millimeter-wave (mmWave) and terahertz (THz) frequency bands offer precise wireless localization capabilities for future networks. This paper introduces a localization scheme leveraging multiple IRSs with a single receive radio frequency chain and basic sensing capabilities. The scheme employs a parametric channel model for line-of-sight (LoS) dominated communication in these frequency bands. Specifically, it utilizes the unique beam structure at each IRS to estimate azimuth and elevation angles of arrivals between the user and IRSs. Numerical results demonstrate the scheme’s accuracy, even in environments with limited scattering conditions.
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spelling doaj.art-e621b909ede44a7b8b7953a5238a64a72023-11-08T00:01:32ZengIEEEIEEE Access2169-35362023-01-011112244612245710.1109/ACCESS.2023.332861310301422User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated ChannelsMojtaba Ghermezcheshmeh0https://orcid.org/0000-0002-7530-7301Nikola Zlatanov1https://orcid.org/0000-0001-6828-3308Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, AustraliaFaculty of Computer and Engineering Sciences, Innopolis University, Innopolis, RussiaIntelligent reflecting surfaces (IRSs) in the millimeter-wave (mmWave) and terahertz (THz) frequency bands offer precise wireless localization capabilities for future networks. This paper introduces a localization scheme leveraging multiple IRSs with a single receive radio frequency chain and basic sensing capabilities. The scheme employs a parametric channel model for line-of-sight (LoS) dominated communication in these frequency bands. Specifically, it utilizes the unique beam structure at each IRS to estimate azimuth and elevation angles of arrivals between the user and IRSs. Numerical results demonstrate the scheme’s accuracy, even in environments with limited scattering conditions.https://ieeexplore.ieee.org/document/10301422/Localizationintellignet reflecting surfacepositioningparametric channel modelmillimeter-wave and terahertz communicationbeyond massive MIMO
spellingShingle Mojtaba Ghermezcheshmeh
Nikola Zlatanov
User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels
IEEE Access
Localization
intellignet reflecting surface
positioning
parametric channel model
millimeter-wave and terahertz communication
beyond massive MIMO
title User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels
title_full User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels
title_fullStr User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels
title_full_unstemmed User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels
title_short User Localization via Multiple Intelligent Reflecting Surfaces for LOS-Dominated Channels
title_sort user localization via multiple intelligent reflecting surfaces for los dominated channels
topic Localization
intellignet reflecting surface
positioning
parametric channel model
millimeter-wave and terahertz communication
beyond massive MIMO
url https://ieeexplore.ieee.org/document/10301422/
work_keys_str_mv AT mojtabaghermezcheshmeh userlocalizationviamultipleintelligentreflectingsurfacesforlosdominatedchannels
AT nikolazlatanov userlocalizationviamultipleintelligentreflectingsurfacesforlosdominatedchannels