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Energies 2016, 9(10), 768; doi:10.3390/en9100768

On Optimal Cell Flashing for Reducing Delay and Saving Energy in Wireless Networks

Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea
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Academic Editor: Fengshou Gu
Received: 1 June 2016 / Revised: 23 August 2016 / Accepted: 7 September 2016 / Published: 23 September 2016
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Abstract

To save energy from cellular networks or to increase user-perceived performance, studying base station (BS) switching on–off is actively ongoing. However, many studies focus on the tradeoff between energy efficiency and user-perceived performance. In this paper, we propose a simple technique called cell flashing. Cell flashing means that base stations are turned on and off periodically and rapidly so that, when one base station is turned on, the adjacent base stations which make interferences are always off. Thus, both energy efficiency and cell edge user performances can be improved. In general, switching off base stations to save energy can lead to longer file download time (or delay) to customers. Using flow-level dynamics, we analyze average delay and energy consumption of cellular networks when cell flashing is used. We show that both of total energy consumption and average flow-level delay decrease in the case of small cells. Extensive simulations confirm that cell flashing can significantly save the energy of the base stations, e.g., by up to 25% and, at the same time, reduce the average delay by up to 75%. View Full-Text
Keywords: energy efficiency; inter-cell interference; flow-level dynamics; cell flashing; small cell networks energy efficiency; inter-cell interference; flow-level dynamics; cell flashing; small cell networks
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Jeong, J.; Kim, H. On Optimal Cell Flashing for Reducing Delay and Saving Energy in Wireless Networks. Energies 2016, 9, 768.

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