Adaptive codebook-based channel estimation in OFDM-aided hybrid beamforming mmWave systems
Adaptive codebook-based channel estimation in OFDM-aided hybrid beamforming mmWave systems
In order to reduce the hardware complexity and cost of mmWave transceivers, hybrid beamforming techniques have been developed, which rely on the channel state information (CSI) available to the receiver and/or transmitter. In mmWave channel estimation, the compressed sensing (CS)-based algorithms like orthogonal matching pursuit (OMP) have been widely studied to take the advantages of the sparse characteristics of mmWave channels. Specifically, the OMP-assisted adaptive codebook channel estimation has the merit of reduced implementation complexity, but it performs undesirably in low signal to noise ratio (SNR) scenarios. To circumvent this problem, in this paper, we develop an improved adaptive codebook channel estimation algorithm for orthogonal frequency division multiplexing (OFDM) mmWave systems, which enhances the estimation performance by exploiting the multi-carrier signals for joint decision making. Our studies show that the proposed channel estimation is capable of significantly improving the estimation accuracy at low SNR, while enjoying a low complexity for implementation.
Adaptive systems, Array signal processing, Channel estimation, Matching pursuit algorithms, Millimeter wave communication, OFDM, Radio frequency, adaptive codebook, channel estimation, hybrid beamforming, mmWave
1553-1562
Zhang, Yaoyuan
6b05d076-c3a9-4e38-90cb-bb89c5ccf265
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
20 September 2022
Zhang, Yaoyuan
6b05d076-c3a9-4e38-90cb-bb89c5ccf265
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Zhang, Yaoyuan, El-Hajjar, Mohammed and Yang, Lie-Liang
(2022)
Adaptive codebook-based channel estimation in OFDM-aided hybrid beamforming mmWave systems.
IEEE Open Journal of the Communications Society, 3, .
(doi:10.1109/OJCOMS.2022.3207797).
Abstract
In order to reduce the hardware complexity and cost of mmWave transceivers, hybrid beamforming techniques have been developed, which rely on the channel state information (CSI) available to the receiver and/or transmitter. In mmWave channel estimation, the compressed sensing (CS)-based algorithms like orthogonal matching pursuit (OMP) have been widely studied to take the advantages of the sparse characteristics of mmWave channels. Specifically, the OMP-assisted adaptive codebook channel estimation has the merit of reduced implementation complexity, but it performs undesirably in low signal to noise ratio (SNR) scenarios. To circumvent this problem, in this paper, we develop an improved adaptive codebook channel estimation algorithm for orthogonal frequency division multiplexing (OFDM) mmWave systems, which enhances the estimation performance by exploiting the multi-carrier signals for joint decision making. Our studies show that the proposed channel estimation is capable of significantly improving the estimation accuracy at low SNR, while enjoying a low complexity for implementation.
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Adaptive_Codebook-Based_Channel_Estimation_in_OFDM-Aided_Hybrid_Beamforming_mmWave_Systems
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Accepted/In Press date: 15 September 2022
Published date: 20 September 2022
Additional Information:
Publisher Copyright:
© 2020 IEEE.
Keywords:
Adaptive systems, Array signal processing, Channel estimation, Matching pursuit algorithms, Millimeter wave communication, OFDM, Radio frequency, adaptive codebook, channel estimation, hybrid beamforming, mmWave
Identifiers
Local EPrints ID: 470491
URI: http://eprints.soton.ac.uk/id/eprint/470491
ISSN: 2644-125X
PURE UUID: 378519ea-fa05-4521-aa3d-352a585ce5dd
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Date deposited: 11 Oct 2022 16:55
Last modified: 17 Mar 2024 03:55
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Contributors
Author:
Yaoyuan Zhang
Author:
Mohammed El-Hajjar
Author:
Lie-Liang Yang
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