Linear Precoding for Finite-Alphabet Inputs Over MIMO Fading Channels With Statistical CSI

This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output fading channels with statistical channel state information known at the transmitter. It formulates the design from the standpoint of finite-alphabet inputs, which leads...

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Vydané v:	IEEE transactions on signal processing Ročník 60; číslo 6; s. 3134 - 3148
Hlavní autori:	Zeng, Weiliang, Xiao, Chengshan, Wang, Mingxi, Lu, Jianhua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.06.2012 Institute of Electrical and Electronics Engineers
Predmet:	Applied sciences Coding, codes Detection, estimation, filtering, equalization, prediction Exact sciences and technology Finite-alphabet inputs Information, signal and communications theory MIMO multiple-input multiple-output Mutual information Optimization precoder design Resource management Signal and communications theory Signal processing algorithms Signal, noise statistical channel state information Telecommunications and information theory Transmitters Vectors Alphabet Fading channels Performance evaluation MIMO system Lower bound Parameter estimation Coding circuit Spatial correlation Transmitter multiple-input multiple-output Finite-alphabet inputs precoder design Algorithm Computational complexity Optimization Upper bound Coding Channel estimation Signal processing statistical channel state information Numerical simulation Pretreatment Reduced order model Mutual information
ISSN:	1053-587X, 1941-0476
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