DocumentCode :
2158038
Title :
Design optimization of linear precoders for complex vector gaussian channelswith finite alphabet inputs
Author :
Xiao, Chengshan ; Zheng, Yahong Rosa ; Ding, Zhi
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
3272
Lastpage :
3275
Abstract :
We study the design optimization of linear precoders that maximize the mutual information in complex-valued vector Gaussian channels under finite alphabet inputs. It is well known that mutual information of a vector channel with discrete constellation source is a highly nonlinear and no concave function of the linear precoder matrix G, thereby complicating the precoder design optimization. In this paper, we show that the mutual information is a concave function of W = GhHhHG, where H is the complex-valued channel matrix and superscript "h" represents conjugate transpose. We further propose an iterative algorithm for solving the globally optimal linear precoder G. Illustrative results show that the proposed iterative algorithm is very robust and efficient for global convergence.
Keywords :
Gaussian channels; concave programming; iterative methods; linear codes; matrix algebra; nonlinear programming; precoding; complex-valued channel matrix; complex-valued vector Gaussian channels; discrete constellation source; finite alphabet inputs; iterative algorithm; linear precoder design optimization; linear precoder matrix; mutual information; nonconcave function; nonlinear function; Convergence; Indexes; Iterative methods; MIMO; Mutual information; Signal to noise ratio; Vectors; Linear precoder; global optimization; mutual information; vector Gaussian noise channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946720
Filename :
5946720
Link To Document :
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