DocumentCode :
3510850
Title :
On the optimal power allocation for additive color noise parallel channels with limited access constraint
Author :
Wang, Shih-Wei ; Chen, Po-Ning ; Wang, Chung-Hsuan ; Chang, Wen-Chieh
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
336
Lastpage :
340
Abstract :
In this paper, we consider an (N;K)-limited access system consisting of N parallel additive noise channels with spatial dependency, where the receiver starts to decode the information being transmitted when at least K out of N channel outputs are received. We investigate the optimal power allocation that maximizes the minimum mutual information among all possible cases of partial reception. A universal guideline is then obtained for a group of permutation-invariant channels, in which the system mutual information remains unchanged when permuting the parameters that characterize the partial reception and signal-to-noise power ratio (SNR) of channels, that a channel with less noise power should have larger SNR. When all N channels belong to a permutation-invariant group, we also have that the optimal power allocation problem can be transformed to an equivalent problem for K parallel channels without limited access constraint via a water-filling noise-power-redistribution process. The merit of this transformation can be more evidently seen when the channel input-noise pairs are reduced to be spatially independent with distributions scaled from a common random vector, for which the optimal power allocation solution can be simply obtained by a two-phase water-filling process.
Keywords :
AWGN channels; channel allocation; channel coding; SNR; information decoding; limited access constraint; mutual information; noise power redistribution process; optimal power allocation; parallel additive noise channels; permutation-invariant channels; signal-to-noise power ratio; water filling process; Additive noise; Additives; Colored noise; Mutual information; Resource management; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
ISSN :
2157-8095
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2011.6034141
Filename :
6034141
Link To Document :
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