A hierarchical prediction model for two nodes-based IP mobile networks

ABSTRACT

In this paper, a new mobility prediction model is investigated. We consider a two nodes (enhanced gateway and base station) mobile network architecture based on intelligent IP framework. The proposed model is based on two complementary algorithms for mobility prediction: a global prediction algorithm and a local one. While the former is implemented in the gateway, the latter is used by the base station. At the gateway level, the algorithm detects the regular movements of the mobile users whereas the algorithm, at the base station level, tracks more closely, within the cell, the movements of the mobile users. Our prediction model gives significant results in both mobility conditions, regular and random movements.

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INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.1 Network Architecture and Design
          Subjects: Wireless communication

Additional Classification:
  C. Computer Systems Organization
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Performance attributes; Modeling techniques

General Terms:
Algorithms, Performance

Keywords:
mobile networks, mobility prediction, quality of service