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http://dx.doi.org/10.6109/jkiice.2019.23.12.1644

DBSCAN-based Energy-Efficient Algorithm for Base Station Mode Control  

Lee, Howon (Dept. of EECE, Hankyong National Univ.)
Lee, Wonseok (Standard Research Team, Innovative Technology Lab)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.12, 2019 , pp. 1644-1649 More about this Journal
Abstract
With the rapid development of mobile communication systems, various mobile convergence services are appearing and data traffic is exploding accordingly. Because the number of base stations to support these surging devices is also increasing, from a network provider's point of view, reducing energy consumption through these mobile communication networks is one of the most important issues. Therefore, in this paper, we apply the DBSCAN (density-based spatial clustering of applications with noise) algorithm, one of the representative user-density based clustering algorithms, in order to extract the dense area with user density and apply the thinning process to each extracted sub-network to efficiently control the mode of the base stations. Extensive simulations show that the proposed algorithm has better performance results than the conventional algorithms with respect to area throughput and energy efficiency.
Keywords
User Density Based Clustering; Base Station Control; Area Throughput; Energy Efficiency;
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