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Energies 2015, 8(5), 4629-4646; doi:10.3390/en8054629

Modeling and Performance Analysis of State Transitions for Energy-Efficient Femto Base Stations

School of Electronic Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 156-743, Korea
This paper is an extended version of our paper published in Chung, Y.W. Performance Analysis of Energy-Efficient Home Femto Base Stations. In Proceedings of International Conference on Electrical, Computer, Electronics and Communication Engineering, Paris, France, 24–26 June 2011.
Academic Editor: K. T. Chau
Received: 24 March 2015 / Revised: 30 April 2015 / Accepted: 8 May 2015 / Published: 21 May 2015
View Full-Text   |   Download PDF [316 KB, uploaded 21 May 2015]   |  

Abstract

Lowering the energy required by base stations (BSs) is one of the hot issues nowadays in order to achieve green cellular networks. The energy consumption of femto BSs can be reduced, by turning off the radio interface when there is no mobile station (MS) under the coverage area of the femto BSs or MSs served by the femto BSs do not transmit or receive data packets for a long time, especially late at night. In the energy-efficient femto BSs, if MSs have any data packet to transmit and the radio interface of femto BSs is in the off state, MSs wake up the radio interface of femto BSs by using an additional low-power radio interface. In this paper, active (data), idle, active (signaling), sleep entering, sleep and waking up states are defined for the state model for the energy-efficient femto BSs, and the state transitions are modeled analytically. The steady-state probability of each state is derived thoroughly using a semi-Markov approach. Then, the performance of the energy-efficient femto BSs is analyzed in detail, from the aspects of energy consumption, cumulative average delay, cost and low-power radio signaling load. From the results, the tradeoff relationship between energy consumption and cumulative average delay is analyzed in detail, and it was concluded that an appropriate inactivity timer value should be selected to balance the tradeoff. View Full-Text
Keywords: femtocell; energy consumption; semi-Markov approach femtocell; energy consumption; semi-Markov approach
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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Chung, Y. Modeling and Performance Analysis of State Transitions for Energy-Efficient Femto Base Stations. Energies 2015, 8, 4629-4646.

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