Title
Cramér-Rao Bound For Channel Estimation In Amplify-And-Forward Relaying Networks
Keywords
amplify-and-forward; Bayesian Cramér-Rao lower bound (CRLB); channel estimation; linear minimum mean square error (LMMSE)
Abstract
In this paper, we consider a three-node amplify-and-forward (AF) relaying network, consisting of a source S, a destination D and a half-duplex relay node R, where only D is equipped with channel estimator. For a block flat fading channel model, we derive the Bayesian Cramér-Rao lower bound (CRLB) and the mean-squared error (MSE) of the linear minimum mean square error (LMMSE) channel estimate. For a fixed transmission block length and a total transmit power constraint, we investigate the optimal power allotment between S and R, such that Bayesian CRLB and the MSE of the LMMSE channel estimate are minimized. © 2012 IEEE.
Publication Date
12-1-2012
Publication Title
Proceedings - IEEE Military Communications Conference MILCOM
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MILCOM.2012.6415630
Copyright Status
Unknown
Socpus ID
84874292934 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84874292934
STARS Citation
Jia, Yupeng and Vosoughi, Azadeh, "Cramér-Rao Bound For Channel Estimation In Amplify-And-Forward Relaying Networks" (2012). Scopus Export 2010-2014. 3904.
https://stars.library.ucf.edu/scopus2010/3904