NIAIApr 7, 2012

An Intelligent Location Management approaches in GSM Mobile Network

arXiv:1204.1596v14 citations
Originality Incremental advance
AI Analysis

This addresses inefficiencies in location management for mobile network operators, though it appears incremental as it builds on prior work with dynamic adjustments.

The paper tackles the problem of minimizing location update costs in GSM mobile networks by introducing an intelligent location management approach that dynamically adapts to user mobility patterns, reducing transitions between VLR and HLR.

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

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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