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Maximum likelihood channel estimation in decode-and-forward relay networks

Gao, Feifei and Cui, Tao and Nallanathan, Arumugam (2008) Maximum likelihood channel estimation in decode-and-forward relay networks. In: 2008 IEEE International Symposium on Information Theory. IEEE , Piscataway, NJ, pp. 1233-1237. ISBN 978-1-4244-2256-2. https://resolver.caltech.edu/CaltechAUTHORS:20170404-174823799

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Abstract

In this paper, we provide a complete study on the training based channel estimation for relay networks that employ the decode-and-forward (DF) scheme. Since multiple relay nodes are geographically distributed over the service region, channel estimation is different from the traditional way in that each relay has its own individual power constraint. We consider the maximum likelihood (ML) channel estimation and derive closed form solutions for the optimal training as well as for the optimal power allocation. It is seen that the optimal power allocation follows a multi-level waterfilling structure.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/ISIT.2008.4595184DOIArticle
http://ieeexplore.ieee.org/document/4595184/PublisherArticle
Additional Information:© 2008 IEEE.
DOI:10.1109/ISIT.2008.4595184
Record Number:CaltechAUTHORS:20170404-174823799
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170404-174823799
Official Citation:Feifei Gao, Tao Cui and A. Nallanathan, "Maximum likelihood channel estimation in decode-and-forward relay networks," 2008 IEEE International Symposium on Information Theory, Toronto, ON, 2008, pp. 1233-1237. doi: 10.1109/ISIT.2008.4595184
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75710
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:05 Apr 2017 04:29
Last Modified:15 Nov 2021 16:35

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