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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Vydáno v:IEEE transactions on wireless communications Ročník 20; číslo 10; s. 6282 - 6297
Hlavní autoři: Wang, Wei, Zhang, Wei
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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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Shrnutí: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.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3073140