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Effective management of handover process in mobile communication network

Author

Listed:
  • Osahenvemwen, O. A

    (Department of Electrical and Electronic Engineering, Ambrose Alli University, Ekpoma, Nigeria)

  • Odiase, O. F

    (Department of Electrical and Electronic, University of Benin, Benin City, Nigeria)

Abstract

This paper presents the effective management of handover process in mobile communication networks, aims to determine effective utilization of signaling channels in mobile communication network to avoid incessant of handover drop calls in the mobile network. Data were obtained from the Operation and Maintenance Centre (OMC). Analytical method known as Markovian chain analysis of continuous time and discrete space was used in the modeling, of handover blocking probability in mobile communication network. In addition, it was validated using MATLAB software. The causes of handover calls failure were analysis in network B. It was observed that handover blocking probability increases as the number of offered traf?ic load in erlang increases with a given number of transmission channels (V+g). Handover call blocking probability traf?ic model performance of the system is function of offered traf?ic in erlang and number of transmission channels (Pb = f(A,(V+g)). The handover blocking probability decreases, as both number of transmission channels (V+g) and traf?ic load in erlang increase. In order, to obtain satisfactory handover blocking probability the number of channels must be increased in proportion to offered traf?ic load in erlang

Suggested Citation

  • Osahenvemwen, O. A & Odiase, O. F, 2016. "Effective management of handover process in mobile communication network," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(6), pages 176-182.
    • Handle: RePEc:apb:jaterr:2016:p:176-182
    DOI: 10.20474/jater-2.6.1
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    Cited by:

    1. Zeydin Pala & Musa Sana, 2020. "Attackdet: Combining web data parsing and real-time analysis with machine learning," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 6(1), pages 37-45.
    2. Salasiah Hanin Hamjah* & Izzah Nur Aida Zur Raffar & Rosmawati Mohamad Rasit & Zuliza Mohd Kusrin, 2019. "Adolescent’s Perception of Father’s Leadership Style in the Family," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(2), pages 284-290, 02-2019.
    3. Menor Dawn Bernadette Ortillo, 2019. "A configurable data management solution For Small-Medium Enterprises (SMEs)," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(3), pages 101-115.
    4. Isao Sasano & Kei Morisawa & Yutaka Hirakawa, 2019. "Personalized spoiler detection in tweets by using support vector machine," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(5), pages 219-226.
    5. Khaled Y Alghamdi & Robin Braun, 2019. "Deploying hand offmechanism with the software defined network vs mobile IP for 5G network: A feasibility study," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(2), pages 79-84.
    6. Noraida Haji Ali & Fadilah Harun, 2019. "Video forgery detection based-on passive (blind) approach," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(5), pages 199-206.

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