Paper Info
Title
Nonlinear One-Bit Precoding for Massive MIMO Downlink Systems With <italic>l</italic>₀-Norm Constraint
Abstract
Using one-bit digital-to-analog converters can significantly reduce the power consumption of base station in the massive multiple-input multiple-output downlink system. In this letter, we introduce l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> -norm constraint on quantized transmit signals in the nonlinear one-bit precoding to further reduce the number of radio-frequency chains and thus the power consumption. This precoding is first formulated as a non-convex optimization problem, then the alternative direction method of multipliers (ADMM) is employed to solve this problem. Specifically, an efficient two-step implementation of the non-convex projection operator in ADMM is presented. Finally, the performance of proposed scheme and the effectiveness of proposed algorithm are validated by computer simulations.
Year
DOI
Venue
2020
10.1109/LWC.2020.2995484
IEEE Wireless Communications Letters
Keywords
DocType
Volume
Massive MIMO,nonlinear precoding,one-bit ADCs,ADMM
Journal
9
Issue
ISSN
Citations 
9
2162-2337
2
PageRank 
References 
Authors
0.37
0
2
Name
Order
Citations
PageRank
Xingyu Yuan120.37
Jianping Zheng221.05