Location based power control for mobile devices in a cellular network

Pathirana, Pubudu 2005, Location based power control for mobile devices in a cellular network, in Tencon 2005 - 2005 IEEE region 10 conference : Melbourne, Australia, 21-24 November 2005., IEEE, Piscataway, NJ, pp. 1-6.

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Title Location based power control for mobile devices in a cellular network
Author(s) Pathirana, Pubudu
Conference name TENCON (2005 : Melbourne, Australia)
Conference location Melbourne, Vic.
Conference dates 21-24 November 2005
Title of proceedings Tencon 2005 - 2005 IEEE region 10 conference : Melbourne, Australia, 21-24 November 2005.
Editor(s) Harris, R.
Bradlow, H.
Publication date 2005
Conference series IEEE Region 10 Conference
Start page 1
End page 6
Publisher IEEE
Place of publication Piscataway, NJ
Keyword(s) CarNet
power control
location tracking
mobility modelling
robust extended kalman filter
wireless networks
Summary This paper provides location estimation based power control strategy for cellular radio systems via a location based interference management scheme. Our approach considers the carrier-to-interference as dependent on the transmitter and receiver separation distance and therefore an accurate estimation of the precise locations can provide the power critical mobile user to control the transition power accordingly. In this fully
distributed algorithms, we propose using a Robust Extended Kalman Filter (REKF) to derive an estimate of the mobile user’s closest mobile base station from the user’s location, heading and altitude. Our analysis demonstrates that this algorithm can successfully track the mobile users with less system complexity, as it requires measurements from only one or two closest mobile base stations and hence enable the user to transmit at the rate that is sufficient for the interference management. Our power control
algorithms based on this estimation converges to the desired power trajectory. Further, the technique is robust against system uncertainties caused by the inherent deterministic nature of the mobility model. Through simulation, we show the accuracy of our prediction algorithm and the simplicity of its implementation.
ISBN 0780393112
9780780393110
Language eng
Field of Research 100599 Communications Technologies not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005681

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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