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

Socpus ID

84874292934 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84874292934

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