2013 IEEE International Symposium on Information Theory , 2013-07-07

Title : ( A General Upper Bound for FSO Channel Capacity with Input-Dependent Gaussian Noise and the Corresponding Optimal Input Distribution )

Authors: کبری اکبری دادامحله , Ghosheh Abed Hodtani ,

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Abstract

AbstractIn this paper we derive a new upper bound for the input-output mutual information of FSO channels with input-dependent Gaussian noise by using a simple mathematical inequality. Then, by maximizing the obtained upper bound over all the discrete input distributions with equally spaced mass points, and approximating, we reach to a third order equation for the optimum input distribution. Our equation (i) determines the optimum input distribution directly in contrary to the Farid-Hranilovic (FH) work where it is found numerically, and also, (ii) gives a previously derived second order equation for the optimum input distribution of FSO channels with input-independent Gaussian noise in a special case. Using numerical illustrations, we compare our input distribution with previous works.

Keywords

, FSO Channel Capacity, A General Upper Bound, Input, Dependent Gaussian Noise
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@inproceedings{paperid:1036425,
author = {کبری اکبری دادامحله and Abed Hodtani, Ghosheh},
title = {A General Upper Bound for FSO Channel Capacity with Input-Dependent Gaussian Noise and the Corresponding Optimal Input Distribution},
booktitle = {2013 IEEE International Symposium on Information Theory},
year = {2013},
location = {Istanbul},
keywords = {FSO Channel Capacity-A General Upper Bound-Input-Dependent Gaussian Noise},
}

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%0 Conference Proceedings
%T A General Upper Bound for FSO Channel Capacity with Input-Dependent Gaussian Noise and the Corresponding Optimal Input Distribution
%A کبری اکبری دادامحله
%A Abed Hodtani, Ghosheh
%J 2013 IEEE International Symposium on Information Theory
%D 2013

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