NDLI: Base station sleeping mechanism based on traffic prediction in heterogeneous networks

Content Provider	IEEE Xplore Digital Library
Author	Jinming Hu Wei Heng Guodong Zhang Chao Meng
Copyright Year	2015
Description	Author affiliation: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China (Jinming Hu; Wei Heng; Guodong Zhang; Chao Meng)
Abstract	In order to reduce the energy consumption of cellular networks, the possibility of turning off base stations under off-peak time has been focused in recent years. However, traffic in cellular networks is always under fluctuation which leads to the sleeping mechanisms which is based on deterministic traffic variation pattern unsuitable. In this paper, a base station sleeping mechanism based on traffic prediction (BSTP) is proposed to solve the problems caused by traffic fluctuation in heterogeneous networks. Modified Wavelet neural network (MWNN) is used to predict the future traffic of base stations in this paper. Based on the prediction, a base station sleeping mechanism is proposed by making use of Pico Base Stations (PBSs) instead of Macro Base Station (MBS) to provide service under off-peak time. Simulation results show that the MWNN model has a good prediction precision and faster convergence speed, and the sleeping mechanism can significantly reduce the total energy consumption of heterogeneous networks.
Starting Page	83
Ending Page	87
File Size	327922
Page Count	5
File Format	PDF
e-ISBN	9781467393485
DOI	10.1109/ATNAC.2015.7366793
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-18
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Macrocell networks Base stations Energy consumption heterogeneous networks Power demand modified wavelet neural network Neural networks Heterogeneous networks base station sleep mechanism energy consumption Convergence traffic prediction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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