Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers

We compare the performance of three base station management schemes on three different network topologies. In addition, we explore the effect of offloading traffic to heterogeneous femtocell layer upon energy savings taking into account the increase of base station switch-off time intervals. Fairnes...

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Main Authors: G. Koutitas, L. Chiaraviglio, Delia Ciullo, M. Meo, L. Tassiulas
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2014/190586
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spelling doaj-3a09d9d7bc664638ac6d77212afc37ff2021-07-02T02:26:59ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/190586190586Energy-Aware Base Stations: The Effect of Planning, Management, and Femto LayersG. Koutitas0L. Chiaraviglio1Delia Ciullo2M. Meo3L. Tassiulas4Computer Engineering and Telecommunications, University of Thessaly, 38221 Volos, GreeceDIET Department, University of Roma-La Sapienza, Via Eudossiana 18, Rome, ItalyMobile Communications Department, Eurecom, Sophia Antipolis, 450 Route des Chappes, 06410 Biot, FranceTelecommunication Networks Group, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyComputer Engineering and Telecommunications, University of Thessaly, 38221 Volos, GreeceWe compare the performance of three base station management schemes on three different network topologies. In addition, we explore the effect of offloading traffic to heterogeneous femtocell layer upon energy savings taking into account the increase of base station switch-off time intervals. Fairness between mobile operator and femtocell owners is maintained since current femtocell technologies present flat power consumption curves with respect to served traffic. We model two different user-to-femtocell association rules in order to capture realistic and maximum gains from the heterogeneous network. To provide accurate findings and a holistic overview of the techniques, we explore a real urban district where channel estimations and power control are modeled using deterministic algorithms. Finally, we explore energy efficiency metrics that capture savings in the mobile network operator, the required watts per user and watts per bitrate. It is found that the newly established pseudo distributed management scheme is the most preferable solution for practical implementations and together with the femotcell layer the network can handle dynamic load control that is regarded as the basic element of future demand response programs.http://dx.doi.org/10.1155/2014/190586
collection DOAJ
language English
format Article
sources DOAJ
author G. Koutitas
L. Chiaraviglio
Delia Ciullo
M. Meo
L. Tassiulas
spellingShingle G. Koutitas
L. Chiaraviglio
Delia Ciullo
M. Meo
L. Tassiulas
Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers
Journal of Electrical and Computer Engineering
author_facet G. Koutitas
L. Chiaraviglio
Delia Ciullo
M. Meo
L. Tassiulas
author_sort G. Koutitas
title Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers
title_short Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers
title_full Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers
title_fullStr Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers
title_full_unstemmed Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers
title_sort energy-aware base stations: the effect of planning, management, and femto layers
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2014-01-01
description We compare the performance of three base station management schemes on three different network topologies. In addition, we explore the effect of offloading traffic to heterogeneous femtocell layer upon energy savings taking into account the increase of base station switch-off time intervals. Fairness between mobile operator and femtocell owners is maintained since current femtocell technologies present flat power consumption curves with respect to served traffic. We model two different user-to-femtocell association rules in order to capture realistic and maximum gains from the heterogeneous network. To provide accurate findings and a holistic overview of the techniques, we explore a real urban district where channel estimations and power control are modeled using deterministic algorithms. Finally, we explore energy efficiency metrics that capture savings in the mobile network operator, the required watts per user and watts per bitrate. It is found that the newly established pseudo distributed management scheme is the most preferable solution for practical implementations and together with the femotcell layer the network can handle dynamic load control that is regarded as the basic element of future demand response programs.
url http://dx.doi.org/10.1155/2014/190586
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