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Telecommunication Economics pp 117–125Cite as

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Green Networks and Green Tariffs as Driven by User Service Demand

Green Networks and Green Tariffs as Driven by User Service Demand

  • Louis-Francois Pau3,4 
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Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7216)

Abstract

This section describes an approximate model built from real sub-system performance data, of a public wireless network (3G / LTE) in view of minimum net energy consumption or minimum emissions per time unit and per user. This approach is justified in order to generate the integrated view required for “green” optimizations, while taking into account service demand and operations While subsystems with lower native energy footprints are being migrated into public networks, the many adaptation mechanisms at sub-system, protocol and management levels make system complexity too high to design major comprehensive “green” trade-offs. However, by focusing on the incremental effects of a new network user, the approximate model allows marginal effects to be estimated with good accuracy. This capability allows for the provisioning of personalized energy / emissions reducing tariffs to end users with inherent advantages both to operators, energy suppliers and users. One key advantage is the possibility to reduce waste capacity, and thus energy consumption in the network, by allowing the user to specify just the service capacity and demands he/she has. From an engineering point of view, the incremental model allows to tune sub-system characteristics jointly, especially transceivers, transmission and storage. From a configuration point of view, the model allows to determine which nodes in the network benefit most from back-up and renewable power sources. From a business perspective, the model allows to determine trade-offs between personalized bundle characteristics and the energy cost share in the marginal operating expense share. Detailed sub-system model and design improvements are carried out on a continuous basis in collaboration with industry.

Keywords

  • Wireless networks
  • Energy consumption
  • CO2 emissions
  • Marginal analysis
  • Personalized tariffs
  • Green wireless tariffs

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Author information

Authors and Affiliations

  1. Copenhagen Business School, Denmark

    Louis-Francois Pau

  2. Rotterdam School of Management, The Netherlands

    Louis-Francois Pau

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  1. Louis-Francois Pau
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Editor information

Editors and Affiliations

  1. Kios Research Center, University of Cyprus, P.O. Box 20537, 1678, Nicosia, Cyprus

    Antonis M. Hadjiantonis

  2. Institut für Informatik (IFI), Universität Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland

    Burkhard Stiller

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Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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© 2012 The Author(s)

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Pau, LF. (2012). Green Networks and Green Tariffs as Driven by User Service Demand. In: Hadjiantonis, A.M., Stiller, B. (eds) Telecommunication Economics. Lecture Notes in Computer Science, vol 7216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30382-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-30382-1_16

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  • Print ISBN: 978-3-642-30381-4

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