• DocumentCode
    3088981
  • Title

    A Handoff Scheme Using Movement Prediction in Radio over Fiber Indoor Network at 60 GHz

  • Author

    Bien, Van Quang ; Prasad, R. Venkatesha ; Niemegeers, Ignas

  • Author_Institution
    Electr. Eng., Math., Comput. Sci. Fac., Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2011
  • fDate
    22-25 March 2011
  • Firstpage
    664
  • Lastpage
    669
  • Abstract
    In-home networking is becoming a reality. New multimedia applications envisaged for in-home networks require data rates of hundreds of Mbps. In order to provision these applications, wireless networks should provide the user with high speed transmission using short-range Gbps wireless technology. With its unlicensed 5 GHz of spectrum, 60 GHz is envisaged for indoor broadband wireless networks. However, handoff in 60 GHz network occurs with a high rate due to the smaller cell size while using 60 GHz. Thus, the resources in such network vary frequently. So providing QoS guarantees in this network is more difficult than in traditional wireless networks. In this paper, we propose the handoff scheme using movement prediction. The prediction model is based on Hidden Markov Model. The simulation results show that the proposed scheme performs well compared to the two schemes in literature in terms of the call dropping probability and the call blocking probability.
  • Keywords
    broadband networks; indoor communication; probability; quality of service; radio-over-fibre; Hidden Markov Model; QoS; call blocking probability; call dropping probability; frequency 5 GHz; frequency 60 GHz; handoff scheme; high speed transmission; in-home networks; indoor broadband wireless networks; indoor network; movement prediction; multimedia applications; radio over fiber; short-range wireless technology; Antennas; Bandwidth; Computer architecture; Hidden Markov models; Microprocessors; Mobile communication; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference on
  • Conference_Location
    Biopolis
  • Print_ISBN
    978-1-61284-829-7
  • Electronic_ISBN
    978-0-7695-4338-3
  • Type

    conf

  • DOI
    10.1109/WAINA.2011.131
  • Filename
    5763536