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Content Provider | IEEE Xplore Digital Library |
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Author | Aerts, N. Avram, I. Duyck, D. Moeneclaey, M. |
Copyright Year | 2010 |
Description | Author affiliation: Department of Telecommunications and Information Processing, Ghent University, 9000 Gent, Belgium (Aerts, N.; Avram, I.; Duyck, D.; Moeneclaey, M.) |
Abstract | Cooperative communication offers a way to obtain spatial diversity in a wireless network without increasing hardware demands. The different cooperation protocols proposed in the literature [1] are often studied under the assumption that all channel state information is available at the destination. In a practical scenario, channel estimates need to be derived from the broadcasted signals. In this paper, we study the Amplify-and-Forward protocol and use the expectation-maximization (EM) algorithm to obtain the channel estimates in an iterative way. Our results show that the performance of the system that knows the channels can be approached at the cost of an increased computational complexity. In case a small constellation is used, a low complexity approximation is proposed with a similar performance. |
Starting Page | 724 |
Ending Page | 729 |
File Size | 967870 |
Page Count | 6 |
File Format | |
ISBN | 9781424480173 |
e-ISBN | 9781424480166 |
DOI | 10.1109/PIMRC.2010.5671627 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-09-26 |
Publisher Place | Turkey |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Relays Estimation Convolutional codes Complexity theory Channel estimation Decoding Viterbi algorithm Viterbi decoding cooperative communication Amplify-and-Forward EM algorithm |
Content Type | Text |
Resource Type | Article |
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