Mobility modelling and trajectory prediction for cellular networks with mobile base stations
Pathirana, Pubudu, Savkin, Andrey and Jha, Sanjay 2003, Mobility modelling and trajectory prediction for cellular networks with mobile base stations, in MobiHoc 2003 : proceedings of the Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing, ACM Press, New York, N.Y., pp. 213-221.
MobiHoc 2003 : proceedings of the Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing
Place of publication
New York, N.Y.
This paper provides mobility estimation and prediction for a variant of GSM network which resembles an adhoc wireless mobile network where base stations and users are both mobile. We propose using Robust Extended Kalman Filter (REKF)as a location heading altitude estimator of mobile user for next node (mobile-base station)in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm can successfully track the mobile users with less system complexity as it requires either one or two closest mobile-basestation measurements. 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.