DocumentCode :
919000
Title :
The convex-concave characteristics of Gaussian channel capacity functions
Author :
Chen, Han Wu ; Yanagi, Kenjiro
Author_Institution :
Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
Volume :
52
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
2167
Lastpage :
2172
Abstract :
In this correspondence, we give several inherent properties of the capacity function of a Gaussian channel with and without feedback by using some operator inequalities and matrix analysis. We give a new proof method which is different from the method appearing in: K. Yanagi and H. W. Chen, "Operator inequality and its application to information theory," Taiwanese J. Math., vol. 4, no. 3, pp. 407-416, Sep. 2000. We obtain the following results: Cn,Z(P) and Cn,FB,Z(P) are both concave functions of P, Cn,Z(P) is a convex function of the noise covariance matrix and Cn,FB,Z(P) is a convex-like function of the noise covariance matrix. This new proof method is very elementary and the results shall help study the capacity of Gaussian channel. Finally, we state a conjecture concerning the convexity of Cn,FB,·(P).
Keywords :
Gaussian channels; channel capacity; channel coding; concave programming; convex programming; covariance matrices; Gaussian channel capacity function; convex-concave characteristics; covariance matrix analysis; operator inequality; Channel capacity; Covariance matrix; Decoding; Gaussian channels; Gaussian noise; Information analysis; Linear matrix inequalities; Output feedback; Signal processing; State feedback; Capacity; Gaussian channel; Shannon theory; feedback;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.872851
Filename :
1624648
Link To Document :
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