Graph-based codes for Quantize-Map-and-Forward relaying. Sengupta, A, Brahma, S., Ozgur, A, Fragouli, C., & Diggavi, S. In Information Theory Workshop (ITW), 2011 IEEE, pages 140-144, Oct, 2011. doi abstract bibtex We present a structured Quantize-Map-and-Forward (QMF) scheme for cooperative communication over wireless networks, that employs LDPC ensembles for the node operations and message-passing algorithms for decoding. We demonstrate through extensive simulation results over the full-duplex parallel relay network, that our scheme, with no transmit channel state information, offers a robust performance over fading channels and achieves the full diversity order of our network at moderate SNRs.
@inproceedings{6089363,
abstract = {We present a structured Quantize-Map-and-Forward (QMF) scheme for cooperative communication over wireless networks, that employs LDPC ensembles for the node operations and message-passing algorithms for decoding. We demonstrate through extensive simulation results over the full-duplex parallel relay network, that our scheme, with no transmit channel state information, offers a robust performance over fading channels and achieves the full diversity order of our network at moderate SNRs.},
author = {Sengupta, A and Brahma, S. and Ozgur, A and Fragouli, C. and Diggavi, S.},
booktitle = {Information Theory Workshop (ITW), 2011 IEEE},
doi = {10.1109/ITW.2011.6089363},
file = {:papers:graph_qmf.pdf},
month = {Oct},
pages = {140-144},
tags = {conf,IT,WiNet,WiNetInfFlow},
title = {Graph-based codes for Quantize-Map-and-Forward relaying},
type = {4},
year = {2011}
}
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