Channel Estimation for Wideband mmWave MIMO-OFDM System with Beam Squint Effect

Millimeter-wave (mmWave) communication has been widely considered as a key enabler for the future wireless systems. To combat the high propagation loss associated with mmWave band, accurate channel state information is especially essential for achieving large beamforming gain. However, due to the in...

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Bibliographic Details
Published in:IEEE communications letters 2024-01, Vol.28 (1), p.1-1
Main Authors: Shi, Yunmei, Huang, Yi, Tang, Xiao-Wei, Xiao, Yuhang
Format: Article
Language:English
Subjects:
beam squint effect
Beamforming
Broadband
Channel estimation
Dictionaries
Frequency estimation
Iterative methods
iterative minimization
Millimeter wave communication
Millimeter waves
Millimeter-wave
MIMO communication
Orthogonal Frequency Division Multiplexing
Radio frequency
Selective fading
Signal reconstruction
Wideband
wideband channel estimation
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Summary:Millimeter-wave (mmWave) communication has been widely considered as a key enabler for the future wireless systems. To combat the high propagation loss associated with mmWave band, accurate channel state information is especially essential for achieving large beamforming gain. However, due to the influence of beam squint effect and frequency-selective fading, accurate channel estimation is challenging in a typical wideband multiple-input multiple-output system. To tackle this issue, by exploiting the structure information of the wideband channel, we first recast the channel estimation as a joint sparse signal recovery problem. Building upon this, we propose a channel estimation scheme that can effectively refine the relevant channel parameters in an iterative minimization manner. Numerical results are provided to illustrate the effectiveness of our proposed method.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2023.3338808