Paper Info
Title
Enhanced iterative max-sum-rate algorithm for linear MU-MIMO precoding
Abstract
Multi-user multiple input multiple output (MU-MIMO) systems can achieve high spectral efficiency for wireless communication. The design of optimal transmit precoding for max-sum-rate (MSR) MU-MIMO downlink transmission is a non-trivial problem. Recent research approached this problem by exploiting the relationship between max-sum-rate and the minimum-mean-squared-error (MMSE) and proposed several iterative schemes. Based on these research results, we propose enhanced iterative MSR algorithms for linear MU-MIMO precoding which improve the sum rate performance and reduce the computational complexity. The effectiveness of the proposed method is verified by numerical simulations.
Year
DOI
Venue
2011
10.1109/PIMRC.2011.6139752
PIMRC
Keywords
Field
DocType
optimal transmit precoding,precoding,communication complexity,iterative max-sum-rate algorithm,multiuser multiple input multiple output system,wireless communication,minimum-mean-squared-error,computational complexity,mimo communication,mu-mimo downlink transmission,linear mu-mimo precoding,spectral efficiency,iterative methods,mean square error methods,numerical simulation,minimum mean square error
Mathematical optimization,Multi-user MIMO,Wireless,Computer science,Iterative method,Algorithm,Communication complexity,Zero-forcing precoding,Precoding,Spatial multiplexing,Computational complexity theory
Conference
Volume
Issue
ISSN
null
null
pending E-ISBN : 978-1-4577-1347-7
ISBN
Citations 
PageRank 
978-1-4577-1347-7
3
0.40
References 
Authors
7
3
Name
Order
Citations
PageRank
Chongning Na1336.59
Xiaolin Hou27615.75
Atsushi Harada3506.92