Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

Majdoddin Esfandiari; Sergiy A. Vorobyov; Robert W. Heath

doi:10.1109/SAM53842.2022.9827806

Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

Majdoddin Esfandiari, Sergiy A. Vorobyov, Robert W. Heath

Sergiy Vorobyov Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

One-bit analog-to-digital converters enable digital beamforming in millimeter wave (mmWave) multi-input multi-output communication systems with low power consumption. Con-ventional signal processing tasks like channel estimation, though, are challenging due to the extreme quantization, making it challenging to implement uplink (UL) multiuser re-ceivers. We reformulate the UL channel estimation prob-lem as a multiplication of two specific matrices, and then we leverage Toeplitz matrix reconstruction in conjunction with the angular domain sparsity of the UL channel to recover UL channel via solving a properly designed optimization prob-lem. Our new approach is called the sparsity enforcing with Toeplitz matrix reconstruction (SE-TMR) method. Numerical simulations are carried out to showcase the advantages of SE-TMR over existing competitive methods in terms of normal-ized mean squared error in clustered narrowband channels.

Original language	English
Title of host publication	2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Publisher	IEEE
Pages	141-145
Number of pages	5
ISBN (Electronic)	9781665406338
DOIs	https://doi.org/10.1109/SAM53842.2022.9827806
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	IEEE Sensor Array and Multichannel Signal Processing Workshop - Trondheim, Norway Duration: 20 Jun 2022 → 23 Jun 2022 Conference number: 12

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Print)	1551-2282
ISSN (Electronic)	2151-870X

Conference

Conference	IEEE Sensor Array and Multichannel Signal Processing Workshop
Abbreviated title	SAM
Country/Territory	Norway
City	Trondheim
Period	20/06/2022 → 23/06/2022

Keywords

angular domain
Multi-user MIMO
one-bit analog-to-digital converter
Toeplitz matrix reconstruction
uplink channel esti-mation

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10.1109/SAM53842.2022.9827806

Esfariandietal_Sparsity_Enforcing_2022093541Accepted author manuscript, 265 KB

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Esfandiari, M., Vorobyov, S. A., & Heath, R. W. (2022). Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs. In 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 (pp. 141-145). (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). IEEE. https://doi.org/10.1109/SAM53842.2022.9827806

Esfandiari, Majdoddin ; Vorobyov, Sergiy A. ; Heath, Robert W. / Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs. 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. IEEE, 2022. pp. 141-145 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

@inproceedings{1511b4f45bf64a38a7d8cd57d6e29f0e,

title = "Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs",

abstract = "One-bit analog-to-digital converters enable digital beamforming in millimeter wave (mmWave) multi-input multi-output communication systems with low power consumption. Con-ventional signal processing tasks like channel estimation, though, are challenging due to the extreme quantization, making it challenging to implement uplink (UL) multiuser re-ceivers. We reformulate the UL channel estimation prob-lem as a multiplication of two specific matrices, and then we leverage Toeplitz matrix reconstruction in conjunction with the angular domain sparsity of the UL channel to recover UL channel via solving a properly designed optimization prob-lem. Our new approach is called the sparsity enforcing with Toeplitz matrix reconstruction (SE-TMR) method. Numerical simulations are carried out to showcase the advantages of SE-TMR over existing competitive methods in terms of normal-ized mean squared error in clustered narrowband channels.",

keywords = "angular domain, Multi-user MIMO, one-bit analog-to-digital converter, Toeplitz matrix reconstruction, uplink channel esti-mation",

author = "Majdoddin Esfandiari and Vorobyov, {Sergiy A.} and Heath, {Robert W.}",

note = "Funding Information: This work was supported in part by Academy of Finland under Research Grant 319822. Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM ; Conference date: 20-06-2022 Through 23-06-2022",

year = "2022",

doi = "10.1109/SAM53842.2022.9827806",

language = "English",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

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Esfandiari, M , Vorobyov, SA & Heath, RW 2022, Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs. in 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, IEEE, pp. 141-145, IEEE Sensor Array and Multichannel Signal Processing Workshop, Trondheim, Norway, 20/06/2022. https://doi.org/10.1109/SAM53842.2022.9827806

Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs. / Esfandiari, Majdoddin ; Vorobyov, Sergiy A.; Heath, Robert W.

2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. IEEE, 2022. p. 141-145 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - One-bit analog-to-digital converters enable digital beamforming in millimeter wave (mmWave) multi-input multi-output communication systems with low power consumption. Con-ventional signal processing tasks like channel estimation, though, are challenging due to the extreme quantization, making it challenging to implement uplink (UL) multiuser re-ceivers. We reformulate the UL channel estimation prob-lem as a multiplication of two specific matrices, and then we leverage Toeplitz matrix reconstruction in conjunction with the angular domain sparsity of the UL channel to recover UL channel via solving a properly designed optimization prob-lem. Our new approach is called the sparsity enforcing with Toeplitz matrix reconstruction (SE-TMR) method. Numerical simulations are carried out to showcase the advantages of SE-TMR over existing competitive methods in terms of normal-ized mean squared error in clustered narrowband channels.

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Esfandiari M , Vorobyov SA, Heath RW. Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs. In 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. IEEE. 2022. p. 141-145. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). https://doi.org/10.1109/SAM53842.2022.9827806

Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

Abstract

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Conference

Keywords

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MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS

MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS

Cite this

Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

Abstract

Publication series

Conference

Keywords

Access to Document

SFX availability

Other files and links

Fingerprint

Projects

MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS

MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS

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