Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers,
Nov. 7-9, 2004, pp. 732-736, Pacific Grove, CA USA.
Long Range Channel Prediction for Adaptive OFDM Systems
Robert W. Heath, and
Brian L. Evans
Department of Electrical and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
In this paper, different techniques for long-range channel prediction for
OFDM systems are investigated.
Frequency domain channel prediction on each OFDM data subcarrier is first
explored, and it is shown that the optimum prediction filter depends
only on the time-domain channel statistics for the wide-sense stationary
uncorrelated scattering (WSSUS) wireless channel.
Frequency domain prediction on the pilot subcarriers is investigated next,
where the optimum prediction filter is determined for each pilot subcarrier,
and is reused for all the nearby data subcarriers.
Finally, time-domain channel prediction on the multipath taps is explored.
It is shown that frequency domain prediction on the pilot subcarriers
performs almost identically to prediction using all subcarriers.
Furthermore, it is also shown that time-domain prediction outperforms
the frequency domain prediction methods.
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