Paper Info
Title
Throughput-Optimal Multi-Mode Precoding MIMO System with Per-Substream AMC.
Abstract
In this paper, we study a multi-mode quantized precoding multiple-input multiple-output (MIMO) system with per-substream adaptive modulation and coding under a maximal throughput target. An analytical throughput expression is firstly presented by recurring to Gaussian mixed approximation for block error rate of Turbo codes. An optimal mode-MCS (modulation and coding scheme) selection algorithm is then developed to achieve maximal throughput performance based on throughput criterion. Further, a complexity- reducing selection algorithm with negligible performance loss is proposed by making full use of the information provided by singular value decomposition of the instantaneous channel matrix at the receiver side. Simulation results show that both selection algorithms can achieve good throughput performance in the above mentioned MIMO system. © Springer Science+Business Media, LLC. 2011.
Year
DOI
Venue
2012
10.1007/s11277-011-0336-1
Wireless Personal Communications
Keywords
Field
DocType
Gaussian mixed approximation,Multi-mode quantized precoding,Mode-MCS selection,SVD
Link adaptation,Singular value decomposition,Block Error Rate,Computer science,Control theory,Turbo code,Selection algorithm,MIMO,Algorithm,Real-time computing,Throughput,Precoding
Journal
Volume
Issue
ISSN
66
2
0929-6212
Citations 
PageRank 
References 
0
0.34
14
Authors
3
Name
Order
Citations
PageRank
Xiumei Yang1232.73
Yong Xiong2121.68
Lei Zhu300.68