Proc. IEEE Global Communications Conf.,
Nov. 28-Dec. 2, 2005, pp. 2255-2259, St. Louis, Missouri USA.
Joint Channel Estimation and Prediction for OFDM Systems
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
Draft of Paper -
Slides
OFDM Research at UT Austin
Abstract
Adaptive OFDM improves the system throughput by adjusting transmission
parameters based on channel state information (CSI) estimated at or
received by the transmitter. The improvement, however, is conditioned
on the quality of the CSI, which can be compromised by estimation and
quantization
errors, and more significantly by delay. Channel prediction has been
previously proposed to combat feedback delay. In this paper, a novel
OFDM channel prediction algorithm that uses a 2x1-dimensional frequency
estimation to determine the time-delays and Doppler frequencies of each
propagation path is investigated. The algorithm assumes a general
far-field scatterer, frequency-selective
wireless channel model and hence is applicable to a wide variety of
wireless channel conditions. It is shown that the method requires less
feedback information and has better mean-squared error performance than
previous methods. We provide simulation results for IEEE 802.16e
channels.
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