ADMM-Based Solution for mmWave UL Channel Estimation with One-Bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstruction

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorEsfandiari, Majdoddinen_US
dc.contributor.authorVorobyov, Sergiy A.en_US
dc.contributor.authorHeath, Robert W.en_US
dc.contributor.departmentDepartment of Information and Communications Engineeringen
dc.contributor.editorZorzi, Micheleen_US
dc.contributor.editorTao, Meixiaen_US
dc.contributor.editorSaad, Waliden_US
dc.contributor.groupauthorVisa Koivunen Groupen
dc.contributor.groupauthorSergiy Vorobyov Groupen
dc.contributor.organizationNorth Carolina State Universityen_US
dc.date.accessioned2024-01-04T09:01:19Z
dc.date.available2024-01-04T09:01:19Z
dc.date.issued2023en_US
dc.descriptionPublisher Copyright: © 2023 IEEE.
dc.description.abstractLow-power millimeter wave (mmWave) multi-input multi-output communication systems can be enabled with the use of one-bit analog-to-digital converters. Owing to the extreme quantization, conventional signal processing tasks such as channel estimation are challenging, making uplink (UL) multiuser receivers difficult to implement. To address this issue, we first reformulate the UL channel estimation problem, and then combine the idea of ℓ1 regularized logistic regression classification and Toeplitz matrix reconstruction in a properly designed optimization problem. Our new method is referred to as ℓ1 regularized logistic regression with Toeplitz matrix reconstruction (L1-RLR-TMR). In addition, we develop a computationally efficient alternating direction method of multi-pliers (ADMM)-based implementation for the L1-RLR-TMR method. Numerical results demonstrate the performance of the L1-RLR-TMR method in comparison with other existing methods.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.extent1338-1343
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationEsfandiari, M, Vorobyov, S A & Heath, R W 2023, ADMM-Based Solution for mmWave UL Channel Estimation with One-Bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstruction . in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications : Sustainable Communications for Renaissance . IEEE International Conference on Communications, vol. 2023-May, IEEE, pp. 1338-1343, IEEE International Conference on Communications, Rome, Italy, 28/05/2023 . https://doi.org/10.1109/ICC45041.2023.10279217en
dc.identifier.doi10.1109/ICC45041.2023.10279217en_US
dc.identifier.isbn978-1-5386-7462-8
dc.identifier.issn1550-3607
dc.identifier.otherPURE UUID: 8c8a3819-5406-4d5f-96c9-eb259289a1c1en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/8c8a3819-5406-4d5f-96c9-eb259289a1c1en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85178254077&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/131419592/ICC2023.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/125464
dc.identifier.urnURN:NBN:fi:aalto-202401041153
dc.language.isoenen
dc.relation.ispartofIEEE International Conference on Communicationsen
dc.relation.ispartofseriesICC 2023 - IEEE International Conference on Communicationsen
dc.relation.ispartofseriesIEEE International Conference on Communicationsen
dc.relation.ispartofseriesVolume 2023-Mayen
dc.rightsopenAccessen
dc.subject.keywordangular domainen_US
dc.subject.keywordMulti-user MIMOen_US
dc.subject.keywordone-bit ADCen_US
dc.subject.keywordToeplitz matrix reconstructionen_US
dc.subject.keyworduplink channel estimationen_US
dc.subject.keywordℓ regularized logistic regressionen_US
dc.titleADMM-Based Solution for mmWave UL Channel Estimation with One-Bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstructionen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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