2023 article

ADMM-based Solution for mm Wave UL Channel Estimation with One-bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstruction

ICC 2023 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, pp. 1338–1343.

author keywords: Multi-user MIMO; uplink channel estimation; one-bit ADC; angular domain; Toeplitz matrix reconstruction; l(1) regularized logistic regression
TL;DR: This work reformulates the UL channel estimation problem, and combines the idea of regularized logistic regression classification and Toeplitz matrix reconstruction in a properly designed optimization problem to develop a computationally efficient alternating direction method of multi-pliers (ADMM)-based implementation for the L1-RLR-TMR method. (via Semantic Scholar)
Source: Web Of Science
Added: March 4, 2024

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 $\ell_{1}$ regularized logistic regression classification and Toeplitz matrix reconstruction in a properly designed optimization problem. Our new method is referred to as $\ell_{1}$ 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.