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

North Carolina State University

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

3 Sitaatiot (Scopus)

94 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Kustantaja	IEEE
Sivut	141-145
Sivumäärä	5
ISBN (elektroninen)	978-1-6654-0633-8
DOI - pysyväislinkit	https://doi.org/10.1109/SAM53842.2022.9827806
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE Sensor Array and Multichannel Signal Processing Workshop - Trondheim, Norja Kesto: 20 kesäk. 2022 → 23 kesäk. 2022 Konferenssinumero: 12

Julkaisusarja

Nimi	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (painettu)	1551-2282
ISSN (elektroninen)	2151-870X

Conference

Conference	IEEE Sensor Array and Multichannel Signal Processing Workshop
Lyhennettä	SAM
Maa/Alue	Norja
Kaupunki	Trondheim
Ajanjakso	20/06/2022 → 23/06/2022

Pääsy asiakirjaan

10.1109/SAM53842.2022.9827806

Esfariandietal_Sparsity_Enforcing_2022093541Accepted author manuscript, 265 KB

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä
Vorobyov, S. (Vastuullinen tutkija), Kocharlakota, K. (Projektin jäsen), Neinavaie, M. (Projektin jäsen), Wang, X. (Projektin jäsen), Ghorbani Veshki, F. (Projektin jäsen), Esfandiari, M. (Projektin jäsen) & Dosti, E. (Projektin jäsen)
01/01/2019 → 31/12/2021
Projekti: Academy of Finland: Other research funding
Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä
Koivunen, V. (Vastuullinen tutkija), Mozafari Majd, M. (Projektin jäsen), Nitzan, E. (Projektin jäsen) & Rajamäki, R. (Projektin jäsen)
01/01/2019 → 31/12/2021
Projekti: Academy of Finland: Other research funding

Siteeraa tätä

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. teoksessa 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 (Sivut 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. Sivut 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",

publisher = "IEEE",

pages = "141--145",

booktitle = "2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022",

address = "United States",

}

Esfandiari, M , Vorobyov, SA & Heath, RW 2022, Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs. julkaisussa 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, IEEE, Sivut 141-145, IEEE Sensor Array and Multichannel Signal Processing Workshop, Trondheim, Norja, 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. s. 141-145 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

AU - Esfandiari, Majdoddin

AU - Vorobyov, Sergiy A.

AU - Heath, Robert W.

N1 - Conference code: 12

PY - 2022

Y1 - 2022

N2 - 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.

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.

KW - angular domain

KW - Multi-user MIMO

KW - one-bit analog-to-digital converter

KW - Toeplitz matrix reconstruction

KW - uplink channel esti-mation

UR - http://www.scopus.com/inward/record.url?scp=85135376312&partnerID=8YFLogxK

U2 - 10.1109/SAM53842.2022.9827806

DO - 10.1109/SAM53842.2022.9827806

M3 - Conference article in proceedings

AN - SCOPUS:85135376312

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 141

EP - 145

BT - 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022

PB - IEEE

T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop

Y2 - 20 June 2022 through 23 June 2022

ER -

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

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

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä

Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä

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