3rd International ICSTConference on Wireless Internet

Research Article

Solving Incertitude of Vertical Handovers in Heterogeneous Mobile Wireless Network

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  • @INPROCEEDINGS{10.4108/wicon.2007.2099,
        author={Jing Wang and R. Venkatesha Prasad and I.G.M.M. Niemegeers},
        title={Solving Incertitude of Vertical Handovers in Heterogeneous Mobile Wireless Network},
        proceedings={3rd International ICSTConference on Wireless Internet},
        proceedings_a={WICON},
        year={2010},
        month={5},
        keywords={Cognitive network architecture 60GHz radio Heterogeneous network Session mobility Decision Theory Vertical handover decision algorithm},
        doi={10.4108/wicon.2007.2099}
    }
    
  • Jing Wang
    R. Venkatesha Prasad
    I.G.M.M. Niemegeers
    Year: 2010
    Solving Incertitude of Vertical Handovers in Heterogeneous Mobile Wireless Network
    WICON
    ICST
    DOI: 10.4108/wicon.2007.2099
Jing Wang1,*, R. Venkatesha Prasad1,*, I.G.M.M. Niemegeers1,*
  • 1: CWPC-WMC/IRCTR, Delft University of Technology,Mekelweg 4, 2628CD Delft, The Netherlands
*Contact email: jing.wang@tudelft.nl, vprasad@ewi.tudelft.nl, ignas.n@ewi.tudelft.nl

Abstract

Wireless communication network is evolving towards more heterogeneous with rapid emergence of new radio technologies. 60GHz radio relying on line-of-sight (LOS) transmission is one of the promising solutions to support in-door high quality multimedia applications. Due to the vulnerable nature of LOS links, vertical handover, by switching the mobile device to the backup WLAN system from 60GHz radio, is critical to support a seamless session. However vertical handover for short LOS blocking events degrade perceived quality of the media due to frequent switching. In this paper, we propose a cognitive approach to solve incertitude during vertical handover. We first present an overview of our proposed cognitive network architecture, and further under this framework we introduce and examine via simulations a decision algorithm based on decision theory. Our algorithm takes into account multiple factors such as user preference, network situation, device capability and effect of environment. We show its ability to effectively make handover decision in uncertain situations. The method and results herein are applicable, in general, to any other situation where such a decision is to be made.