• DocumentCode
    1723744
  • Title

    WPBR: Weekly prediction based bandwidth reservation scheme for macrocellular wireless networks in urban areas

  • Author

    Amani, Adel ; Pedram, Hossein

  • Author_Institution
    Dept. of Comput. Eng. & Inf. Technol., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2013
  • Firstpage
    79
  • Lastpage
    87
  • Abstract
    One of the major challenges in the cellular networks is to guarantee the quality of service of the ongoing calls by prioritizing them over the new calls. An operative approach to prioritize the hand off calls over the new calls is by reserving bandwidth for the ongoing calls of mobile stations in the potential next cell that they may visit. Improving the prediction of potential next cell that a mobile station may visit will cause better bandwidth utilization. In this paper, we propose weekly prediction based bandwidth reservation scheme. The proposed scheme, WPBR, improves prediction by means of storing weekly movement probabilities of mobile station based on Markov modeling techniques. In order to decreasing the storage space that is needed for storing the mobile station´s movement probabilities, we adopted a dynamic hashing approach. Simulation results show that the weekly prediction in the proposed scheme, significantly improves bandwidth utilization, and the adopted dynamic hashing approach caused the overhead of storage space to be acceptable.
  • Keywords
    Markov processes; cellular radio; cryptography; quality of service; Markov model; WPBR; bandwidth utilization; cellular networks; dynamic hashing; hand off calls; macrocellular wireless networks; mobile station movement probability; mobile stations; ongoing calls; quality of service; urban areas; weekly prediction based bandwidth reservation; Bandwidth; Indexes; Markov processes; Predictive models; Quality of service; Bandwidth Reservation; Dynamic Hashing; Macrocellular Wireless Networks; Markov Modeling Techniques; Mobility Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2013 15th International Conference on
  • Conference_Location
    PyeongChang
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4673-3148-7
  • Type

    conf

  • Filename
    6488393