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Maximum likelihood differentiation between static and mobile users in cellular systems

Lookup NU author(s): Panteleimon Balis, Emeritus Professor Oliver Hinton


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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%.

Publication metadata

Author(s): Balis PG; Hinton OR

Publication type: Article

Publication status: Published

Journal: Electronics Letters

Year: 2001

Volume: 37

Issue: 18

Pages: 1136-1137

ISSN (print): 0013-5194

ISSN (electronic): 1350-911X

Publisher: The Institution of Engineering and Technology


DOI: 10.1049/el:20010775


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