A Novel Channel Model and Optimal Beam Tracking Schemes for Mobile Millimeter-Wave Massive MIMO Communications

A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account...

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Published inIEEE transactions on vehicular technology Vol. 70; no. 7; pp. 7205 - 7210
Main Authors Ghosh, Joydev, Zhu, Huiling, Haci, Huseyin
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Antenna arrays
Beamforming
Channel models
Estimation
Massive MIMO
Millimeter waves
millimeter-wave
MIMO
MIMO communication
Multiple objective analysis
Optimization
Precoding
Radio frequency
Tracking
wireless communication
Online AccessGet full text
ISSN0018-9545
1939-9359
DOI10.1109/TVT.2021.3083635

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Abstract A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account that is novel and different from widely used channel models. Two optimum codebook based beam-tracking schemes-multi-objective joint optimization codebook (MJOC) and linear hybrid combiner (LHC)- have been proposed for the novel channel model and their performance for spectral efficiency (SE) is presented. Performance for the two most commonly used channel state information (CSI) estimation approaches is investigated. Finally, the relationship between the beamforming training blocks and optimal beam tracking scheme is presented.
AbstractList A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account that is novel and different from widely used channel models. Two optimum codebook based beam-tracking schemes-multi-objective joint optimization codebook (MJOC) and linear hybrid combiner (LHC)- have been proposed for the novel channel model and their performance for spectral efficiency (SE) is presented. Performance for the two most commonly used channel state information (CSI) estimation approaches is investigated. Finally, the relationship between the beamforming training blocks and optimal beam tracking scheme is presented.
Author Ghosh, Joydev
Haci, Huseyin
Zhu, Huiling
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SubjectTerms Antenna arrays
Beamforming
Channel models
Estimation
Massive MIMO
Millimeter waves
millimeter-wave
MIMO
MIMO communication
Multiple objective analysis
Optimization
Precoding
Radio frequency
Tracking
wireless communication
Title A Novel Channel Model and Optimal Beam Tracking Schemes for Mobile Millimeter-Wave Massive MIMO Communications
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