Deterministic modeling and long range prediction of fast fading channels with applications to mobile radio systems
Abstract (Summary)
EYCEÖZ, TUGAY. Deterministic Modeling and Long Range Prediction
of Fast Fading Channels with Applications to Mobile Radio Systems.
(Under the direction of Prof. Alexandra Duel-Hallen)
In wireless communication systems, the direct signal and the reflected signals form
an interference pattern resulting in a received signal given by the sum of these components.
They are distinguished by their Doppler shifts at the mobile. Since the
parameters associated with these components are slowly varying, the fading coefficients
can be accurately predicted far ahead. We introduced a novel algorithm for
long range prediction of fading channels. This algorithm finds the linear Minimum
Mean Squared Error (MMSE) estimate of the future fading coefficients given a fixed
number of previous observations. We show that the superior performance of this
algorithm is due to its longer memory span achieved by using lower sampling rate
given fixed model order relative to the conventional (data rate) methods of fading
prediction. This long range prediction capability for fading channels would provide
enabling technology for accurate power control, reliable transmitter and/or receiver
diversity, more effective adaptive modulation and coding and improvements in many
other components of wireless systems. In this thesis, we demonstrate that large
improvements in the performance are possible for both flat and frequency-selective
rapidly varying fading channels when the proposed prediction method is used. We
illustrate the performance enhancements both at the transmitter and the receiver
with both theoretical and simulation results.
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Bibliographical Information:
Advisor:
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:north carolina state university
ISBN:
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