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
OFDM Research at UT Austin
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.