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Fuzzy Enhanced Discrete Bacterial Foraging Optimization for Cell and Resource Blocks Selection in Femtocell Networks

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Abstract

The modification of discrete bacterial foraging optimization algorithm using fuzzy system is presented in this study along with the application in femtocell networks to find cell and resource blocks that can provide connection with highest throughput. Fuzzy system is employed to guide reproduction events in discrete bacterial foraging optimization by controlling the distribution of bacteria assigned to search solution in each femtocell base station so that after reproduction events more bacteria gather to search in more promising region. The results of simulations shows that the improved discrete bacterial foraging optimization with fuzzy system can achieve more optimal solution than the original one.

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Acknowledgements

This research is funded by the AUN/SEED-Net JICA Project (Contract No. UGM CRA 1601)

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Authors and Affiliations

  1. Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Jln. Grafika 2 Kampus UGM, Yogyakarta, 55281, Indonesia

    I Wayan Mustika & Sahirul Alam

  2. Graduate School of Informatics, Kyoto University, Kyoto, 606-8501, Japan

    Koji Yamamoto & Hidekazu Murata

Authors
  1. I Wayan Mustika
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  2. Sahirul Alam
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  3. Koji Yamamoto
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  4. Hidekazu Murata
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Correspondence to I Wayan Mustika.

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Mustika, I.W., Alam, S., Yamamoto, K. et al. Fuzzy Enhanced Discrete Bacterial Foraging Optimization for Cell and Resource Blocks Selection in Femtocell Networks. Wireless Pers Commun 108, 511–526 (2019). https://doi.org/10.1007/s11277-019-06415-w

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  • DOI: https://doi.org/10.1007/s11277-019-06415-w

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