Joint Beam Training and Positioning for Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications

Intelligent reflecting surface (IRS) offers a cost-effective solution to link blockage problem in mmWave communications, and the prerequisite of which is the accurate estimation of (1) the optimal beams for base station/access point (BS/AP) and mobile terminal (MT), (2) the optimal reflection patter...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 20; H. 10; S. 6282 - 6297
Hauptverfasser:	Wang, Wei, Zhang, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Angle of arrival Array signal processing beam training Beamforming blockage Channel estimation Intelligent reflecting surface Iterative methods Line of sight Maximum likelihood estimates Maximum likelihood estimation Millimeter wave communication Millimeter waves mmWave communications positioning Radio equipment Radio frequency Reconfigurable intelligent surfaces Reflection Relays Training Wireless communication
ISSN:	1536-1276, 1558-2248
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Abstract	Intelligent reflecting surface (IRS) offers a cost-effective solution to link blockage problem in mmWave communications, and the prerequisite of which is the accurate estimation of (1) the optimal beams for base station/access point (BS/AP) and mobile terminal (MT), (2) the optimal reflection patterns for IRSs, and (3) link blockage. In this paper, we carry out beam training designs for IRSs assisted mmWave communications to estimate the aforementioned parameters. To acquire the optimal beams and reflection patterns, we firstly perform random beamforming and maximum likelihood estimation to estimate angle of arrival (AoA) and angle of departure (AoD) of the line of sight (LoS) path between BS/AP (or IRSs) and MT. Then, with the estimated AoDs, we propose an iterative positioning algorithm that achieves centimeter-level positioning accuracy. The obtained location information is not only a fringe benefit but also enables us to cross verify and enhance the estimation of AoA and AoD, and it also facilitates the estimation of blockage indicator. Numerical results show the superiority of our proposed beam training scheme and verify the performance gain brought by location information.
AbstractList	Intelligent reflecting surface (IRS) offers a cost-effective solution to link blockage problem in mmWave communications, and the prerequisite of which is the accurate estimation of (1) the optimal beams for base station/access point (BS/AP) and mobile terminal (MT), (2) the optimal reflection patterns for IRSs, and (3) link blockage. In this paper, we carry out beam training designs for IRSs assisted mmWave communications to estimate the aforementioned parameters. To acquire the optimal beams and reflection patterns, we firstly perform random beamforming and maximum likelihood estimation to estimate angle of arrival (AoA) and angle of departure (AoD) of the line of sight (LoS) path between BS/AP (or IRSs) and MT. Then, with the estimated AoDs, we propose an iterative positioning algorithm that achieves centimeter-level positioning accuracy. The obtained location information is not only a fringe benefit but also enables us to cross verify and enhance the estimation of AoA and AoD, and it also facilitates the estimation of blockage indicator. Numerical results show the superiority of our proposed beam training scheme and verify the performance gain brought by location information.
Author	Wang, Wei Zhang, Wei
Author_xml	– sequence: 1 givenname: Wei orcidid: 0000-0001-7289-1883 surname: Wang fullname: Wang, Wei email: wei.wang@unsw.edu.au organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia – sequence: 2 givenname: Wei orcidid: 0000-0002-1059-3642 surname: Zhang fullname: Zhang, Wei email: w.zhang@unsw.edu.au organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia
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SubjectTerms	Algorithms Angle of arrival Array signal processing beam training Beamforming blockage Channel estimation Intelligent reflecting surface Iterative methods Line of sight Maximum likelihood estimates Maximum likelihood estimation Millimeter wave communication Millimeter waves mmWave communications positioning Radio equipment Radio frequency Reconfigurable intelligent surfaces Reflection Relays Training Wireless communication
Title	Joint Beam Training and Positioning for Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
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