<p>In wireless communication systems, the direct signal andthe 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 predictionof fading channels. This algorithm finds the linear Minimum MeanSquared Error (MMSE) estimate of the future fading coefficientsgiven a fixed number of previous observations. We show that thesuperior performance of this algorithm is due to its longer memoryspan achieved by using lower sampling rate given fixed model orderrelative to the conventional (data rate) methods of fadingprediction. 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 ofwireless systems. In this thesis, we demonstrate that largeimprovements in the performance are possible for both flat andfrequency-selective rapidly varying fading channels when theproposed prediction method is used. We illustrate the performanceenhancements both at the transmitter and the receiver with boththeoretical and simulation results.<P>
| Identifer | oai:union.ndltd.org:NCSU/oai:NCSU:etd-20010404-210559 |
| Date | 05 April 2001 |
| Creators | Eyceoz, Tugay |
| Contributors | Prof. A. Duel-Hallen, Prof. J. K. Townsend, Prof. S. T. Alexander, Prof. H. Hallen |
| Publisher | NCSU |
| Source Sets | North Carolina State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://www.lib.ncsu.edu/theses/available/etd-20010404-210559 |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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