Mobility prediction in wireless networks using neural networks

Abstract

Wireless network resource use depends in large part on the mobility of network users. The ability to predict this mobility at least in part enables the network to anticipate resource use in the future and take precautionary measures if necessary. This work presents a neural network prediction system that is able to capture some of the patterns exhibited by users moving in a wireless environment and can then predict the future behaviour of these users. These predictions can then be used in a multitude of ways to ensure proper and predictable resource use. © IFIP International Federation for Information Processing 2004.