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Vector channel modeling and prediction for the improvement of downlink received power
Journal article   Peer reviewed

Vector channel modeling and prediction for the improvement of downlink received power

Alberto Arredondo, Kapil R Dandekar and Guanghan Xu
IEEE transactions on communications, v 50(7), pp 1121-1129
01 Jul 2002
DOI: https://doi.org/10.1109/TCOMM.2002.800827
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Mobile communication systems Research Analysis Antenna arrays Multichannel communication
Recently, many researchers have done significant work to reduce fast fading in single channel wireless systems using prediction. In this paper, we introduce a novel synthesis and prediction filter at the smart antenna base station to predict the vector channel in time-division duplex systems. We show the advantage of modeling each component of the vector channel with the same coefficients over modeling each channel separately. Experimental results from measurements taken in downtown Austin show that prediction of the vector channel is feasible, even as far as ten steps ahead. Ray tracing simulations of downtown Austin, assuming noiseless line-of-sight and nonline-of-sight channels, show that these predictions enhance downlink beamforming resulting in improvements in downlink received power in excess of 10 dB in nonline-of-sight scenarios compared to beamforming without predictions. Furthermore, this improvement allows an increase in the duplex interval by more than three times, assuming constant mobile velocity.

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32 citations in Web of Science
42 citations in Scopus

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Web of Science research areas
Engineering, Electrical & Electronic
Telecommunications
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