Energy Savings in Cellular Networks Based on Space-Time Structure of Traffic Loads

Jingbo SUN; Yue WANG; Jian YUAN; Xiuming SHAN

doi:10.1587/transcom.E95.B.591

Energy Savings in Cellular Networks Based on Space-Time Structure of Traffic Loads

Jingbo SUN, Yue WANG, Jian YUAN, Xiuming SHAN

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Since most of energy consumed by the telecommunication infrastructure is due to the Base Transceiver Station (BTS), switching off BTSs when traffic load is low has been recognized as an effective way of saving energy. In this letter, an energy saving scheme is proposed to minimize the number of active BTSs based on the space-time structure of traffic loads as determined by principal component analysis. Compared to existing methods, our approach models traffic loads more accurately, and has a much smaller input size. As it is implemented in an off-line manner, our scheme also avoids excessive communications and computing overheads. Simulation results show that the proposed method has a comparable performance in energy savings.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.2 pp.591-594

Publication Date: 2012/02/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.591

Type of Manuscript: LETTER

Category: Energy in Electronics Communications

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Jingbo SUN, Yue WANG, Jian YUAN, Xiuming SHAN, "Energy Savings in Cellular Networks Based on Space-Time Structure of Traffic Loads" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 2, pp. 591-594, February 2012, doi: 10.1587/transcom.E95.B.591.
Abstract: Since most of energy consumed by the telecommunication infrastructure is due to the Base Transceiver Station (BTS), switching off BTSs when traffic load is low has been recognized as an effective way of saving energy. In this letter, an energy saving scheme is proposed to minimize the number of active BTSs based on the space-time structure of traffic loads as determined by principal component analysis. Compared to existing methods, our approach models traffic loads more accurately, and has a much smaller input size. As it is implemented in an off-line manner, our scheme also avoids excessive communications and computing overheads. Simulation results show that the proposed method has a comparable performance in energy savings.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.591/_p

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@ARTICLE{e95-b_2_591,
author={Jingbo SUN, Yue WANG, Jian YUAN, Xiuming SHAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy Savings in Cellular Networks Based on Space-Time Structure of Traffic Loads},
year={2012},
volume={E95-B},
number={2},
pages={591-594},
abstract={Since most of energy consumed by the telecommunication infrastructure is due to the Base Transceiver Station (BTS), switching off BTSs when traffic load is low has been recognized as an effective way of saving energy. In this letter, an energy saving scheme is proposed to minimize the number of active BTSs based on the space-time structure of traffic loads as determined by principal component analysis. Compared to existing methods, our approach models traffic loads more accurately, and has a much smaller input size. As it is implemented in an off-line manner, our scheme also avoids excessive communications and computing overheads. Simulation results show that the proposed method has a comparable performance in energy savings.},
keywords={},
doi={10.1587/transcom.E95.B.591},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Energy Savings in Cellular Networks Based on Space-Time Structure of Traffic Loads
T2 - IEICE TRANSACTIONS on Communications
SP - 591
EP - 594
AU - Jingbo SUN
AU - Yue WANG
AU - Jian YUAN
AU - Xiuming SHAN
PY - 2012
DO - 10.1587/transcom.E95.B.591
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2012
AB - Since most of energy consumed by the telecommunication infrastructure is due to the Base Transceiver Station (BTS), switching off BTSs when traffic load is low has been recognized as an effective way of saving energy. In this letter, an energy saving scheme is proposed to minimize the number of active BTSs based on the space-time structure of traffic loads as determined by principal component analysis. Compared to existing methods, our approach models traffic loads more accurately, and has a much smaller input size. As it is implemented in an off-line manner, our scheme also avoids excessive communications and computing overheads. Simulation results show that the proposed method has a comparable performance in energy savings.
ER -