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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. New York, NY, USA: IEEE, 2012. 1044–1048. Print.
APA
Aerts, N., & Moeneclaey, M. (2012). Pilot-based ML estimation in amplify-and-forward cooperative networks. IEEE Wireless Communications and Networking Conference (pp. 1044–1048). Presented at the 2012 IEEE Wireless Communications and Networking Conference (WCNC 2012), New York, NY, USA: IEEE.
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, 1044–1048. New York, NY, USA: IEEE.
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.
Vancouver
1.
Aerts N, Moeneclaey M. Pilot-based ML estimation in amplify-and-forward cooperative networks. 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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