LOCATION ESTIMATION IN CELLULAR NETWORKS USING NEURAL NETWORKS

摘要

Location estimation finds its applications in many important decisions in cellular networks. Hand offs, cellular fraud detection and location sensitive billing are some of the examples. Apart from the use in the internal working of cellular networks, it can also help in stolen car recovery, automatic driver guidance, fleet management and a host of other things as well. Many different techniques are currently in use. This paper first gives an overview of location estimation techniques and applications currently employed, and a new technique based on the use of neural networks is then presented. The mobile architecture used is discussed and the paper concludes with the discussion of preliminary simulation results.