Energy-Spreading-Transform Based MIMO Systems: Iterative Equalization, Evolution Analysis, and Precoder Optimization

In this paper, we develop a novel iterative equalization algorithm for energy-spreading-transform (EST) based multiple-input multiple-output (MIMO) systems. We show that the proposed scheme significantly outperforms the existing non-linear MIMO equalizers in various system setups. We further investi...

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Vydané v:IEEE transactions on wireless communications Ročník 13; číslo 9; s. 5237 - 5250
Hlavní autori: Yuan, Xiaojun, Ma, Junjie, Ping, Li
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.09.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Allocations
Channels
Complexity theory
Demodulation
Design engineering
Equalization
Equalizers
Estimation
Evolution
Iterative methods
MIMO
Optimization
Vectors
Wireless communication
iterative equalization
MIMO
precoder design
SINR-variance transfer chart
Energy spreading transform
ISSN:1536-1276, 1558-2248
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Shrnutí:In this paper, we develop a novel iterative equalization algorithm for energy-spreading-transform (EST) based multiple-input multiple-output (MIMO) systems. We show that the proposed scheme significantly outperforms the existing non-linear MIMO equalizers in various system setups. We further investigate the precoder design based on the signal-to-interference-plus-noise-ratio (SINR) variance evolution technique, so as to exploit the available channel state information at the transmitter (CSIT). We derive the optimal precoding directions, and show that the precoder optimization then boils down to a simple power allocation problem that is solvable using convex programming. Numerical results demonstrate that the optimized precoder can achieve a significant power gain, as compared with the non-optimized scheme.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2014.2339839