Title
A Novel Radio Resource Optimization Scheme In Closed Access Femtocell Networks Based On Bat Algorithm
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.
Year
DOI
Venue
2019
10.1587/transcom.2018SEI0002
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
heterogeneous network, macrocell, femtocell, resource allocation, optimization, bat algorithm, interference management
Journal
E102B
Issue
ISSN
Citations 
4
0916-8516
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
I. Wayan Mustika1224.56
Nifty Fath200.34
Selo Sulistyo3126.38
Koji Yamamoto413545.58
Hidekazu Murata516437.72