Paper Info
Title
Transmit Signal Design for Large-Scale MIMO System With 1-bit DACs
Abstract
Deploying low-resolution (e.g. one-bit) digital-to-analog converters (DACs) is of great importance in the multiple-input multiple-output (MIMO) system equipped with a large-scale antenna array since such a hardware architecture brings low-cost and circuit power saving for each antenna. In this paper, the problem of transmit signal design in a large-scale MIMO system with 1-bit DACs is investigated. To ensure directional transmission, we propose to design the transmit signal by minimizing the weighted mean-squared error (MSE) between the formed beampattern and a given one. The resulting design problem, which involves a nonconvex fourth-order objective and a set of nonconvex discrete constraints, is NP-hard, and therefore, an alternating minimization (AM) method is devised. In order to obtain a high-quality 1-bit solution, we propose a continuous and differentiable function to approximate the 1-bit signal, such that the problem with discrete 1-bit constraint is recast to an unconstrained optimization problem with a penalty term, which can be effectively solved via the limited-memory Broyden, Fletcher, Goldfarb, and Shanno (L-BFGS) approach. Moreover, it is found that a closed-form solution can be obtained when equal weights are applied. In addition, low-complexity schemes are developed based on the fast Fourier transform (FFT). The numerical simulations are conducted to demonstrate the effectiveness and superiority of the proposed method.
Year
DOI
Venue
2019
10.1109/TWC.2019.2925343
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Large-scale MIMO system,transmit signal design,1-bit DAC,alternating minimization method,approximation approach
Journal
18
Issue
ISSN
Citations 
9
1536-1276
6
PageRank 
References 
Authors
0.41
0
4
Name
Order
Citations
PageRank
Ziyang Cheng1112.17
Bin Liao219632.33
Zishu He322854.71
Jun Li460.75