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A Novel Radio Resource Optimization Scheme in Closed Access Femtocell Networks Based on Bat Algorithm
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Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.4 pp.660-669
- Publication Date
- 2019/04/01
- Publicized
- 2018/10/15
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018SEI0002
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Sensing, Wireless Networking, Data Collection, Analysis and Processing Technologies for Ambient Intelligence with Internet of Things)
- Category
Authors
I Wayan MUSTIKA
Universitas Gadjah Mada
Nifty FATH
Universitas Budi Luhur
Selo SULISTYO
Universitas Gadjah Mada
Koji YAMAMOTO
Kyoto University
Hidekazu MURATA
Kyoto University
Keyword
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I Wayan MUSTIKA, Nifty FATH, Selo SULISTYO, Koji YAMAMOTO, Hidekazu MURATA, "A Novel Radio Resource Optimization Scheme in Closed Access Femtocell Networks Based on Bat Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 4, pp. 660-669, April 2019, doi: 10.1587/transcom.2018SEI0002.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018SEI0002/_p
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@ARTICLE{e102-b_4_660,
author={I Wayan MUSTIKA, Nifty FATH, Selo SULISTYO, Koji YAMAMOTO, Hidekazu MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Radio Resource Optimization Scheme in Closed Access Femtocell Networks Based on Bat Algorithm},
year={2019},
volume={E102-B},
number={4},
pages={660-669},
abstract={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.},
keywords={},
doi={10.1587/transcom.2018SEI0002},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - A Novel Radio Resource Optimization Scheme in Closed Access Femtocell Networks Based on Bat Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 660
EP - 669
AU - I Wayan MUSTIKA
AU - Nifty FATH
AU - Selo SULISTYO
AU - Koji YAMAMOTO
AU - Hidekazu MURATA
PY - 2019
DO - 10.1587/transcom.2018SEI0002
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2019
AB - 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.
ER -
English
