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Prediction based handovers for wireless networks resources management

Published: 12 September 2011 Publication History

Abstract

The paper is devoted to the problem of mobility and resources management in heterogeneous wireless networks. It is assumed that in certain area covered by multiple overlapping wireless networks there is certain number of mobile client which consume networks resources by use of available communication services (e.g.: voice or data transmission) delivered by network providers. Moreover it is assumed, that communication services continuity may be assured with use of common handover techniques supporting clients mobility (e.g: MIPv6, IEEE 802.21, etc.). The task of mobility and resources management consists of making decisions concerning the moment and the network to which particular clients should be handed over in order to optimize certain quality criterion (e.g. utilization of network resources). In this paper we show that gathering knowledge about clients movement and prediction of their future position may significantly improve the overall quality of delivered services and network resources utilization.

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  1. Prediction based handovers for wireless networks resources management

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      Published In

      cover image Guide Proceedings
      KES'11: Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
      September 2011
      696 pages
      ISBN:9783642238628

      Sponsors

      • DFKI: DFKI GmbH
      • Institute of Integrated Sensor Systems, University of Kaiserslautern, Germany: Institute of Integrated Sensor Systems, University of Kaiserslautern, Germany
      • Center for Computational and Mathematical Modeling, University of Kaiserslautern, Germany: Center for Computational and Mathematical Modeling, University of Kaiserslautern, Germany

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      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      Published: 12 September 2011

      Author Tags

      1. network-assisted handover
      2. user mobility prediction
      3. wireless network management

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