On the Linear Precoder Design for MIMO Channels with Finite-Alphabet Inputs and Statistical CSI

This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output channels with finite-alphabet inputs and statistical channel state information known at the transmitter. This linear precoder design is an important open problem and is...

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Vydané v:2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 s. 1 - 5
Hlavní autori: Weiliang Zeng, Chengshan Xiao, Mingxi Wang, Jianhua Lu
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.12.2011
Predmet:
Correlation
MIMO
Mutual information
Optimization
Resource management
Signal to noise ratio
Vectors
ISBN:9781424492664, 1424492661
ISSN:1930-529X
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Shrnutí:This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output channels with finite-alphabet inputs and statistical channel state information known at the transmitter. This linear precoder design is an important open problem and is extremely difficult to solve: First, average mutual information lacks closed-form expression and involves complicated computations; Second, the optimization problem over precoder is nonconcave. This study explores the solution to this problem and provides the following contributions: 1) A closed-form lower bound of average mutual information is derived. It achieves asymptotic optimality at low and high signal-to-noise ratio regions and, with a constant shift, offers an accurate approximation to the average mutual information; 2) The optimal structure of the precoder is revealed, and a unified two-step iterative algorithm is proposed to solve this problem. Numerical examples show the convergence and the efficacy of the proposed algorithm. Compared to its conventional counterparts, the proposed linear precoding method provides a significant performance gain.
ISBN:9781424492664
1424492661
ISSN:1930-529X
DOI:10.1109/GLOCOM.2011.6133925