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Pilot-based ML estimation in amplify-and-forward cooperative networks

Nico Aerts (UGent) and Marc Moeneclaey (UGent)
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Abstract
Cooperative communication is a promising technique that achieves spatial diversity without requiring multiantenna receivers. In this paper we consider the cooperative Amplify-and-Forward protocol and assume the channel realizations to be unknown. We study several pilot-based channel estimation strategies at the relay and the destination. The obtained maximum-likelihood estimators are evaluated for transmission over Rice-fading channels, in terms of channel estimation accuracy and error performance.
Keywords
Amplify-and-Forward, Cooperative communication, Estimation, DIVERSITY, Maximum-Likelihood

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MLA
Aerts, Nico, and Marc Moeneclaey. “Pilot-Based ML Estimation in Amplify-and-Forward Cooperative Networks.” IEEE Wireless Communications and Networking Conference, IEEE, 2012, pp. 1044–48, doi:10.1109/WCNC.2012.6213928.
APA
Aerts, N., & Moeneclaey, M. (2012). Pilot-based ML estimation in amplify-and-forward cooperative networks. IEEE Wireless Communications and Networking Conference, 1044–1048. https://doi.org/10.1109/WCNC.2012.6213928
Chicago author-date
Aerts, Nico, and Marc Moeneclaey. 2012. “Pilot-Based ML Estimation in Amplify-and-Forward Cooperative Networks.” In IEEE Wireless Communications and Networking Conference, 1044–48. New York, NY, USA: IEEE. https://doi.org/10.1109/WCNC.2012.6213928.
Chicago author-date (all authors)
Aerts, Nico, and Marc Moeneclaey. 2012. “Pilot-Based ML Estimation in Amplify-and-Forward Cooperative Networks.” In IEEE Wireless Communications and Networking Conference, 1044–1048. New York, NY, USA: IEEE. doi:10.1109/WCNC.2012.6213928.
Vancouver
1.
Aerts N, Moeneclaey M. Pilot-based ML estimation in amplify-and-forward cooperative networks. In: IEEE Wireless Communications and Networking Conference. New York, NY, USA: IEEE; 2012. p. 1044–8.
IEEE
[1]
N. Aerts and M. Moeneclaey, “Pilot-based ML estimation in amplify-and-forward cooperative networks,” in IEEE Wireless Communications and Networking Conference, Paris, France, 2012, pp. 1044–1048.
@inproceedings{3103360,
  abstract     = {{Cooperative communication is a promising technique that achieves spatial diversity without requiring multiantenna receivers. In this paper we consider the cooperative Amplify-and-Forward protocol and assume the channel realizations to be unknown. We study several pilot-based channel estimation strategies at the relay and the destination. The obtained maximum-likelihood estimators are evaluated for transmission over Rice-fading channels, in terms of channel estimation accuracy and error performance.}},
  author       = {{Aerts, Nico and Moeneclaey, Marc}},
  booktitle    = {{IEEE Wireless Communications and Networking Conference}},
  isbn         = {{9781467304375}},
  issn         = {{1525-3511}},
  keywords     = {{Amplify-and-Forward,Cooperative communication,Estimation,DIVERSITY,Maximum-Likelihood}},
  language     = {{eng}},
  location     = {{Paris, France}},
  pages        = {{1044--1048}},
  publisher    = {{IEEE}},
  title        = {{Pilot-based ML estimation in amplify-and-forward cooperative networks}},
  url          = {{http://dx.doi.org/10.1109/WCNC.2012.6213928}},
  year         = {{2012}},
}

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