Intelligent energy managed service for green base stations

Valerdi, David; Zhu, Qiaoming; Exadaktylos, Kyriakos; Xia, Shunren; Arranz, Miguel; Li, Rui; Xu, Daming

doi:10.1109/glocomw.2010.5700179

Cited by 32 publications

(22 citation statements)

References 2 publications

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“…Using proper power models, the investigation shows that the power savings from deployment of micro BSs are moderate in full load scenarios and strongly depend on the offset power consumption of both macro and micro sites. This work has been extended in [134], [135], which employ simulations to evaluate potential improvements of this metric through the use of micro base stations. To reduce power consumption, several approaches have been investigated by exploiting different characteristics of participating BSs and users.…”

Section: Tradeoff In Infrastructure Domainmentioning

confidence: 99%

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Mahapatra¹,

Nijsure

Kaddoum

et al. 2016

IEEE Commun. Surv. Tutorials

200

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Abstract-Energy efficient (EE) communication has earnedtremendous interest in recent years due to ever increasing number of wireless devices operating in shrinking cells, while demanding high data rates with high Quality of Services (QoS) and Quality of Expectation (QoE). To support these objectives, energy is consumed in every protocol layer. Establishing and maintaining a successful wireless communication link to simultaneously achieve all these objectives becomes challenging since the energy consumption requirements of the user and network are different for different objectives. Thus, there is a need for tradeoff techniques to achieve energy efficiency in each protocol layer. In this paper, we provide a survey of different tradeoff mechanisms proposed in the literature. The EE tradeoffs have been classified based on each protocol layer and discussed its affect in the network energy efficiency. These other QoS parameters include spectral efficiency, deployment, delay, routing, scheduling, bandwidth and coding etc. This survey also discusses the various EE techniques to improve energy-efficiency in infrastructure mode. Finally, the work provides an discussion, where impact of EE tradeoffs have been presented based on different wireless architecture towards realizing a green wireless communication network.

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Section: Tradeoff In Infrastructure Domainmentioning

confidence: 99%

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Mahapatra¹,

Nijsure

Kaddoum

et al. 2016

IEEE Commun. Surv. Tutorials

200

View full text Add to dashboard Cite

show abstract

“…For BSSs in this category, energy can be generated from a single renewable energy source or a combination of renewable energy sources with or without a fuel (diesel) generator as a backup power supply. Power supply control systems for standalone green BSSs powered solely from the energy of the sun or wind are discussed in [20][21][22], respectively. In [23][24][25], independent hybrid power supply systems, which combine the energy of the sun and wind generated from solar photovoltaic (PV) modules and wind turbines, are presented.…”

Section: Related Workmentioning

confidence: 99%

Performance Analyses of Renewable and Fuel Power Supply Systems for Different Base Station Sites

2014

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Base station sites (BSSs) powered with renewable energy sources have gained the attention of cellular operators during the last few years. This is because such "green" BSSs impose significant reductions in the operational expenditures (OPEX) of telecom operators due to the possibility of on-site renewable energy harvesting. In this paper, the green BSSs power supply system parameters detected through remote and centralized real time sensing are presented. An implemented sensing system based on a wireless sensor network enables reliable collection and post-processing analyses of many parameters, such as: total charging/discharging current of power supply system, battery voltage and temperature, wind speed, etc. As an example, yearly sensing results for three different BSS configurations powered by solar and/or wind energy are discussed in terms of renewable energy supply (RES) system performance. In the case of powering those BSS with standalone systems based on a fuel generator, the fuel consumption models expressing interdependence among the generator load and fuel consumption are proposed. This has allowed energy-efficiency comparison of the fuel powered and RES systems, which is presented in terms of the OPEX and carbon dioxide (CO2) reductions. Additionally, approaches based on different BSS air-conditioning systems and the on/off regulation of a daily fuel generator activity are proposed and validated in terms of energy and capital expenditure (CAPEX) savings. OPEN ACCESSEnergies 2014, 7 7817

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“…In some studies, it is suggested to reduce the carbon footprint of a base station by using renewable energy sources [11,12]. Although this effort is viable in itself, it doesn't improve the energy consumption of the mobile access network.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of the potential for energy saving in macrocell and femtocell networks using a heuristic introducing sleep modes in base stations

Vereecken

Deruyck

Colle

et al. 2012

J Wireless Com Network

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In mobile technologies two trends are competing. On the one hand, the mobile access network requires optimisation in energy consumption. On the other hand, data volumes and required bit rates are rapidly increasing. The latter trend requires the deployment of more dense mobile access networks as the higher bit rates are available at shorter distance from the base station. In order to improve the energy efficiency, the introduction of sleep modes is required. We derive a heuristic which allows establishing a baseline of active base station fractions in order to be able to evaluate mobile access network designs. We demonstrate that sleep modes can lead to significant improvements in energy efficiency and act as an enabler for femtocell deployments.

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Intelligent energy managed service for green base stations

Cited by 32 publications

References 2 publications

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Performance Analyses of Renewable and Fuel Power Supply Systems for Different Base Station Sites

Evaluation of the potential for energy saving in macrocell and femtocell networks using a heuristic introducing sleep modes in base stations

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