Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Oct. 30-Nov. 2, 2005, pp. 1461-1465.

Performance Bounds in OFDM Channel Prediction

Ian C. Wong and Brian L. Evans

Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA
iwong@ece.utexas.edu - bevans@ece.utexas.edu

Paper - Slides

OFDM Research at UT Austin

Abstract

OFDM channel prediction algorithms have been proposed to combat feedback delay in adaptive OFDM systems. However, no simple closed-form expression that relates prediction mean-square error (MSE) with the design parameters in OFDM channel prediction has been reported in the literature. This paper attempts to fill that gap by deriving simple closed-form asymptotic lower bounds of the MSE for OFDM channel prediction in deterministic doubly-selective fading channels. The bounds relate the best-achievable MSE with the predictor design parameters in a simple manner, thus providing important insight into the design of OFDM channel predictors. We compare the bounds to the deterministic Cramer-Rao bound for parameters consistent with IEEE 802.16e, and show that the asymptotic bounds are reasonably tight for practical scenarios.

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Last Updated 02/21/06.