Location estimation and trajectory prediction for cellular networks with mobile base stations
Pathirana, Pubudu, Savkin, Andrey and Jha, Sanjay 2004, Location estimation and trajectory prediction for cellular networks with mobile base stations, IEEE transactions on vehicular technology, vol. 53, no. 6, pp. 1903-1913.
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Location estimation and trajectory prediction for cellular networks with mobile base stations
This paper provides mobility estimation and prediction for a variant of the GSM network that resembles an ad hoc wireless mobile network in which base stations and users are both mobile. We propose using a Robust Extended Kalman Filter (REKF) to derive an estimate of the mobile user's next mobile base station from the user's location, heading, and altitude, to improve connection reliability and bandwidth efficiency of the underlying system. Our analysis demonstrates that our algorithm can successfully track the mobile users with less system complexity, as it requires measurements from only one or two closest mobile base stations. 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.
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