Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers,
vol. 1, pp. 1147-1151, Nov. 9-12, 2003, Pacific Grove, CA USA.
Short Range Wireless Channel Prediction Using Local Information
Jeffrey G. Andrews,
Brian L. Evans
Wireless Networking and
Department of Electrical
and Computer Engineering,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
Wireless channels change due to the mobility of users, which coupled
with system delays, causes outdated channel state information (CSI)
to be used for transmitter optimization techniques such as adaptive
Channel prediction allows the system to adapt modulation methods to
an estimated future CSI.
The primary contribution of this paper is a low complexity channel
prediction method using polynomial approximation.
The method is local in the sense that only a few previous channel
samples are required to estimate the next CSI.
The computational complexity of the proposed method is demonstrated
to be negligible compared to previous methods.
Simulation results show that the proposed method accurately tracks
slowly to moderately fading channels.
The proposed method's usefulness is demonstrated by applying it to
a multiuser OFDM system.
As an example, a multiuser OFDM with a system delay of 5 ms and a
Doppler spread of 40 Hz loses about 17% of its capacity due to
Using the proposed algorithm to predict the CSI, the capacity loss
is less than 1%.
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Last Updated 11/11/04.