Title :
Maximum likelihood differentiation between static and mobile users in cellular systems
Author :
Balis, P.G. ; Hinton, O.R.
Author_Institution :
PANAFON S.A., Metamorfossis, Greece
fDate :
8/30/2001 12:00:00 AM
Abstract :
A method for the classification of cellular users as being either static or mobile is presented. This information is extracted from the variation of averaged signal strength measurement reports by means of a very low complexity algorithm involving maximum likelihood Gaussian estimation. Simulation results are very encouraging, suggesting an estimation accuracy from 80 to 95%
Keywords :
Rayleigh channels; cellular radio; maximum likelihood estimation; averaged signal strength measurement reports; cellular systems; estimation accuracy; maximum likelihood Gaussian estimation; maximum likelihood differentiation; mobile users; static users; very low complexity algorithm;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010775
