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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 JhaProvisioning 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 communicationsVolume
27Issue
5Pagination
502 - 512Publisher
Elsevier Science Pub.Location
New York, NYPublisher DOI
ISSN
0140-3664eISSN
1873-703XLanguage
engNotes
Available online 5 November 2003Publication classification
C1 Refereed article in a scholarly journalCopyright notice
Copyright 2003 Elsevier B.V.Usage metrics
Keywords
location trackingmobility modellingrobust extended Kalman filterpersonal communications service networksScience & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringUNCERTAIN SYSTEMSABSOLUTE STABILIZABILITYHANDOFF ALGORITHMSSTATE ESTIMATIONTRACKINGCONSTRAINTDistributed Computing
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