MSE-Optimal 1-Bit Precoding for Multiuser MIMO Via Branch and Bound
Paper in proceeding, 2018
In this paper, we solve the sum mean-squared error (MSE)-optimal 1-bit quantized precoding problem exactly for small-to-moderate sized multiuser multiple-input multiple-output (MU-MIMO) systems via branch and bound. To this end, we reformulate the original NP-hard precoding problem as a tree search and deploy a number of strategies that improve the pruning efficiency without sacrificing optimality. We evaluate the error-rate performance and the complexity of the resulting 1-bit branch-and-bound (BB-1) precoder, and compare its efficacy to that of existing, suboptimal algorithms for 1-bit precoding in MU-MIMO systems.
precoding
branch and bound
1-bit quantization
massive multiuser multiple-input multiple-output
Author
Sven Jacobsson
Ericsson
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Cornell University
Weiyu Xu
University of Iowa
Giuseppe Durisi
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Christoph Studer
Cornell University
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
15206149 (ISSN)
Vol. 2018-April 3589-3593978-1-5386-4658-8 (ISBN)
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Calgary, Canada,
Calgary, Canada,
Massive MIMO systems with low-resolution converters
Swedish Foundation for Strategic Research (SSF) (ID14-0022), 2015-03-01 -- 2020-02-28.
Subject Categories
Telecommunications
Control Engineering
Signal Processing
DOI
10.1109/ICASSP.2018.8462212