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Robust extended Kalman filter based technique for location management in PCS networks

journal contribution
posted on 2004-03-20, 00:00 authored by Pubudu PathiranaPubudu Pathirana, A Savkin, S Jha
Provisioning of real-time multimedia sessions over wireless cellular network poses unique challenges due to frequent handoff and rerouting of a connection. For this reason, the wireless networks with cellular architecture require efficient user mobility estimation and prediction. This paper proposes using Robust Extended Kalman Filter as a location heading altitude estimator of mobile user for next cell prediction in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm reduces the system complexity (compared to existing approach using pattern matching and Kalman filter) as it requires only two base station measurements or only the measurement from the closest base station. Further, the technique is robust against system uncertainties due to inherent deterministic nature in the mobility model. Through simulation, we show the accuracy and simplicity in implementation of our prediction algorithm.

History

Journal

Computer communications

Volume

27

Issue

5

Pagination

502 - 512

Publisher

Elsevier Science Pub.

Location

New York, NY

ISSN

0140-3664

eISSN

1873-703X

Language

eng

Notes

Available online 5 November 2003

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

Copyright 2003 Elsevier B.V.