An Intelligent Location Management approaches in GSM Mobile Network

TL;DR

This paper introduces an intelligent location management approach for GSM networks that leverages knowledge-base technologies to adapt to user mobility patterns, reducing update costs and improving efficiency.

Contribution

It proposes a dynamic, knowledge-based system that optimizes location updates by exploiting user mobility patterns, unlike fixed database methods.

Findings

Reduces transition between VLR and HLR

Improves efficiency of location updates

Handles location registration and call delivery effectively

Abstract

Location management refers to the problem of updating and searching the current location of mobile nodes in a wireless network. To make it efficient, the sum of update costs of location database must be minimized. Previous work relying on fixed location databases is unable to fully exploit the knowledge of user mobility patterns in the system so as to achieve this minimization. The study presents an intelligent location management approach which has interacts between intelligent information system and knowledge-base technologies, so we can dynamically change the user patterns and reduce the transition between the VLR and HLR. The study provides algorithms are ability to handle location registration and call delivery