Analysis of The Impact of Fuzzy Logic Algorithm On Handover Decision in A Cellular Network

Authors

  • Emily Teresa Nyambati The University of Nairobi, Kenya Author
    • Vitalice K. Oduol The University of Nairobi, Kenya Author

      DOI:

      https://doi.org/10.31686/ijier.vol5.iss5.664

      Keywords:

      Optimised Handover Decision, Received Signal level (RxLev), Received Signal Quality (RxQual), Fuzzy Inference System

      Abstract

      Fuzzy logic is one of the intelligent systems that can be used to develop algorithms for handover. For success in handing over, the decision-making process is crucial and thus should be highly considered. The performance of fixed parameters is not okay in the changing cellular system environments. The work done on this paper aims to analyse the impact of utilising the fuzzy logic system for handover decision making considering the Global System for Mobile communication (GSM) network. The results from the different simulations show that the need to handover varies depending on the input(s) to the Fuzzy Inference System (FIS). By increasing the number of data, thus the criteria parameters used in the algorithm, an Optimised Handover Decision (OHOD) is realised.

      Author Biographies

      • Emily Teresa Nyambati, The University of Nairobi, Kenya

        Department of Electrical & Information Engineering

      • Vitalice K. Oduol, The University of Nairobi, Kenya

        Department of Electrical & Information Engineering

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      Published

      2017-05-01

      Issue

      Vol. 5 No. 5 (2017): International Journal for Innovation Education and Research

      Section

      Journal Articles

      License

      Copyright (c) 2017 Emily Teresa Nyambati, Vitalice K. Oduol

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      This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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      How to Cite

      Nyambati, E. T., & Oduol, V. K. (2017). Analysis of The Impact of Fuzzy Logic Algorithm On Handover Decision in A Cellular Network. International Journal for Innovation Education and Research, 5(5), 46-62. https://doi.org/10.31686/ijier.vol5.iss5.664