ADMM-Based Solution for mmWave UL Channel Estimation with One-Bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstruction
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A4 Artikkeli konferenssijulkaisussa
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Date
2023
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Language
en
Pages
6
1338-1343
1338-1343
Series
ICC 2023 - IEEE International Conference on Communications, IEEE International Conference on Communications, Volume 2023-May
Abstract
Low-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.Description
Publisher Copyright: © 2023 IEEE.
Keywords
angular domain, Multi-user MIMO, one-bit ADC, Toeplitz matrix reconstruction, uplink channel estimation, ℓ regularized logistic regression
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Citation
Esfandiari, 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/ICC45041.2023.10279217