A Novel Radio Resource Optimization Scheme in Closed Access Femtocell Networks Based on Bat Algorithm

DOI Web Site 26 References Open Access
  • MUSTIKA I Wayan
    Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Jln. Grafika 2 Kampus UGM
  • FATH Nifty
    Faculty of Engineering, Universitas Budi Luhur
  • SULISTYO Selo
    Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Jln. Grafika 2 Kampus UGM
  • YAMAMOTO Koji
    Graduate School of Informatics, Kyoto University
  • MURATA Hidekazu
    Graduate School of Informatics, Kyoto University

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<p>Femtocell has been considered as a key promising technology to improve the capacity of a cellular system. However, the femtocells deployed inside a macrocell coverage are potentially suffered from excessive interference. This paper proposes a novel radio resource optimization in closed access femtocell networks based on bat algorithm. Bat algorithm is inspired by the behavior of bats in their echolocation process. While the original bat algorithm is designed to solve the complex optimization problem in continuous search space, the proposed modified bat algorithm extends the search optimization in a discrete search space which is suitable for radio resource allocation problem. The simulation results verify the convergence of the proposed optimization scheme to the global optimal solution and reveal that the proposed scheme based on modified bat algorithm facilitates the improvement of the femtocell network capacity.</p>

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