Battery aging-aware energy management of green small cells powered by the smart grid
Abstract Mobile operators are deploying energy-harvesting heterogeneous networks due to their foreseen advantages such as self-sustainable capability and reduced operating expenditure, which cannot be offered by conventional grid powered communications. However, the used energy storage is subject to...
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doaj-c2260cf9b13d4a1899d9b681dc0b8fd12020-11-24T21:51:47ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992017-07-012017111310.1186/s13638-017-0913-4Battery aging-aware energy management of green small cells powered by the smart gridMouhcine Mendil0Antonio De Domenico1Vincent Heiries2Raphael Caire3Nouredine Hadjsaid4CEA, LETI, MINATECCEA, LETI, MINATECCEA, LETI, MINATECUniversity Grenoble AlpesUniversity Grenoble AlpesAbstract Mobile operators are deploying energy-harvesting heterogeneous networks due to their foreseen advantages such as self-sustainable capability and reduced operating expenditure, which cannot be offered by conventional grid powered communications. However, the used energy storage is subject to irreversible aging mechanisms, requiring intelligent management that considers both the energy cost and battery life cycle. In this paper, we propose a cognitive energy management strategy for small cell base stations powered by local renewable energy, a battery, and the smart grid to simultaneously minimize electricity expenditures of the mobile operators and enhance the life span of the storage device. Non-linear battery models and aging processes are considered to formulate the energy cost optimization problem. Simulation results in different configurations show that a degradation-aware policy significantly improves the battery lifetime, while achieving considerable cost savings.http://link.springer.com/article/10.1186/s13638-017-0913-4Cognitive energy managementGreen communicationEnergy harvestingSmall cellBatterySmart grid |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mouhcine Mendil Antonio De Domenico Vincent Heiries Raphael Caire Nouredine Hadjsaid |
spellingShingle |
Mouhcine Mendil Antonio De Domenico Vincent Heiries Raphael Caire Nouredine Hadjsaid Battery aging-aware energy management of green small cells powered by the smart grid EURASIP Journal on Wireless Communications and Networking Cognitive energy management Green communication Energy harvesting Small cell Battery Smart grid |
author_facet |
Mouhcine Mendil Antonio De Domenico Vincent Heiries Raphael Caire Nouredine Hadjsaid |
author_sort |
Mouhcine Mendil |
title |
Battery aging-aware energy management of green small cells powered by the smart grid |
title_short |
Battery aging-aware energy management of green small cells powered by the smart grid |
title_full |
Battery aging-aware energy management of green small cells powered by the smart grid |
title_fullStr |
Battery aging-aware energy management of green small cells powered by the smart grid |
title_full_unstemmed |
Battery aging-aware energy management of green small cells powered by the smart grid |
title_sort |
battery aging-aware energy management of green small cells powered by the smart grid |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1499 |
publishDate |
2017-07-01 |
description |
Abstract Mobile operators are deploying energy-harvesting heterogeneous networks due to their foreseen advantages such as self-sustainable capability and reduced operating expenditure, which cannot be offered by conventional grid powered communications. However, the used energy storage is subject to irreversible aging mechanisms, requiring intelligent management that considers both the energy cost and battery life cycle. In this paper, we propose a cognitive energy management strategy for small cell base stations powered by local renewable energy, a battery, and the smart grid to simultaneously minimize electricity expenditures of the mobile operators and enhance the life span of the storage device. Non-linear battery models and aging processes are considered to formulate the energy cost optimization problem. Simulation results in different configurations show that a degradation-aware policy significantly improves the battery lifetime, while achieving considerable cost savings. |
topic |
Cognitive energy management Green communication Energy harvesting Small cell Battery Smart grid |
url |
http://link.springer.com/article/10.1186/s13638-017-0913-4 |
work_keys_str_mv |
AT mouhcinemendil batteryagingawareenergymanagementofgreensmallcellspoweredbythesmartgrid AT antoniodedomenico batteryagingawareenergymanagementofgreensmallcellspoweredbythesmartgrid AT vincentheiries batteryagingawareenergymanagementofgreensmallcellspoweredbythesmartgrid AT raphaelcaire batteryagingawareenergymanagementofgreensmallcellspoweredbythesmartgrid AT nouredinehadjsaid batteryagingawareenergymanagementofgreensmallcellspoweredbythesmartgrid |
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1725878633958998016 |