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Quantize and forward cooperative communication: channel parameter estimation

Iancu Avram (UGent) , Nico Aerts (UGent) , Herwig Bruneel (UGent) and Marc Moeneclaey (UGent)
Author
Organization
Abstract
Cooperative communication systems can effectively be used to combat fading. A cooperative protocol that can be used with half-duplex terminals is the Quantize and Forward (QF) protocol, in which the relay quantizes the information received from the source before forwarding it to the destination. While the outage behavior and error performance of the QF protocol have been investigated extensively, only few research has been performed on the effects of channel parameter estimation. In this contribution, estimates are derived for all communication channels involved, while keeping the complexity of the relay terminal unaltered. First, channel estimates are calculated using known pilot symbols sent by the source and relay. Thereafter, these pilot-based channel estimates are refined using a code-aided Expectation Maximization (EM) approach, yielding an error performance that is very close to that of a system in which the channel parameters are assumed to be known.
Keywords
CAPACITY, ALGORITHM, PERFORMANCE, DIVERSITY, RELAY CHANNEL, WIRELESS NETWORKS, AMPLIFY, SYSTEMS, Cooperative systems, wireless communication, channel estimation, expectation-maximization algorithms, maximum likelihood estimation

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Please use this url to cite or link to this publication:

MLA
Avram, Iancu, Nico Aerts, Herwig Bruneel, et al. “Quantize and Forward Cooperative Communication: Channel Parameter Estimation.” IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 11.3 (2012): 1167–1179. Print.
APA
Avram, I., Aerts, N., Bruneel, H., & Moeneclaey, M. (2012). Quantize and forward cooperative communication: channel parameter estimation. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 11(3), 1167–1179.
Chicago author-date
Avram, Iancu, Nico Aerts, Herwig Bruneel, and Marc Moeneclaey. 2012. “Quantize and Forward Cooperative Communication: Channel Parameter Estimation.” Ieee Transactions on Wireless Communications 11 (3): 1167–1179.
Chicago author-date (all authors)
Avram, Iancu, Nico Aerts, Herwig Bruneel, and Marc Moeneclaey. 2012. “Quantize and Forward Cooperative Communication: Channel Parameter Estimation.” Ieee Transactions on Wireless Communications 11 (3): 1167–1179.
Vancouver
1.
Avram I, Aerts N, Bruneel H, Moeneclaey M. Quantize and forward cooperative communication: channel parameter estimation. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 2012;11(3):1167–79.
IEEE
[1]
I. Avram, N. Aerts, H. Bruneel, and M. Moeneclaey, “Quantize and forward cooperative communication: channel parameter estimation,” IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, vol. 11, no. 3, pp. 1167–1179, 2012.
@article{2131907,
  abstract     = {Cooperative communication systems can effectively be used to combat fading. A cooperative protocol that can be used with half-duplex terminals is the Quantize and Forward (QF) protocol, in which the relay quantizes the information received from the source before forwarding it to the destination. While the outage behavior and error performance of the QF protocol have been investigated extensively, only few research has been performed on the effects of channel parameter estimation. In this contribution, estimates are derived for all communication channels involved, while keeping the complexity of the relay terminal unaltered. First, channel estimates are calculated using known pilot symbols sent by the source and relay. Thereafter, these pilot-based channel estimates are refined using a code-aided Expectation Maximization (EM) approach, yielding an error performance that is very close to that of a system in which the channel parameters are assumed to be known.},
  author       = {Avram, Iancu and Aerts, Nico and Bruneel, Herwig and Moeneclaey, Marc},
  issn         = {1536-1276},
  journal      = {IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS},
  keywords     = {CAPACITY,ALGORITHM,PERFORMANCE,DIVERSITY,RELAY CHANNEL,WIRELESS NETWORKS,AMPLIFY,SYSTEMS,Cooperative systems,wireless communication,channel estimation,expectation-maximization algorithms,maximum likelihood estimation},
  language     = {eng},
  number       = {3},
  pages        = {1167--1179},
  title        = {Quantize and forward cooperative communication: channel parameter estimation},
  url          = {http://dx.doi.org/10.1109/TWC.2012.010312.110595},
  volume       = {11},
  year         = {2012},
}

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