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Planning solar in energy-managed cellular networks

Mathieu D'Amours, André Girard and Brunilde Sansò

Article (2018)

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Cite this document: D'Amours, M., Girard, A. & Sansò, B. (2018). Planning solar in energy-managed cellular networks. IEEE Access, 6, p. 65212-65226. doi:10.1109/access.2018.2877040
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Recently, there has been a lot of interest on the energy efficiency and environmental impact of wireless networks. Given that the base stations are the network elements that use most of this energy, much research has dealt with ways to reduce the energy used by the base stations by turning them off during periods of low load. In addition to this, installing a solar harvesting system made up of solar panels, batteries, charge controllers, and inverters is another way to further reduce the network environmental impact, and some research has been dealing with this for individual base stations. In this paper, we show that both techniques are tightly coupled. We propose a mathematical model that captures the synergy between solar installation over a network and the dynamic operation of energy-managed base stations. We study the interactions between the two methods for networks of hundreds of base stations and show that the order in which each method is introduced into the system does make a difference in terms of cost and performance. We also show that installing solar is not always the best solution even when the unit cost of the solar energy is smaller than the grid cost. We conclude that planning the solar installation and energy management of the base stations has to be done jointly.

Uncontrolled Keywords

Cellular networks, energy management, sleep mode, solar power

Open Access document in PolyPublie
Subjects: 2500 Génie électrique et électronique > 2500 Génie électrique et électronique
2500 Génie électrique et électronique > 2501 Réseaux électriques
2500 Génie électrique et électronique > 2506 Circuits et dispositifs électroniques
2500 Génie électrique et électronique > 2516 Conversion et distribution de l'énergie
Department: Département de génie électrique
Research Center: GERAD - Groupe d'études et de recherche en analyse des décisions
Grant number: 121-949
Date Deposited: 16 Aug 2021 13:26
Last Modified: 17 Aug 2021 01:20
PolyPublie URL: https://publications.polymtl.ca/4837/
Document issued by the official publisher
Journal Title: IEEE Access (vol. 6)
Publisher: IEEE
Official URL: https://doi.org/10.1109/access.2018.2877040


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