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Distributed Power Control with Multiple Agents in a Distributed Base Station Scheme Using Macrodiversity

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Stabilization, Safety, and Security of Distributed Systems (SSS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5873))

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Abstract

Power management in wireless networks has been thoroughly studied and applied in many different contexts. However, the problem has not been tackled from a multiple-agent perspective (MA). This paper intends to do so in the context of a wireless network comprised of distributed base stations using macrodiversity. The proposed design is shown to provide efficient use of macrodiversity resources and high energy efficiency when compared with more traditional algorithms. Moreover, the power control mechanism is completely decentralized, while avoiding direct information exchange or excessive signaling, which makes it highly scalable. Its auto-configuration property, stemming from its MA basis, offers high adaptivity when experiencing high or low interference levels. This leads to a naturally balanced resource usage, while also maintaining nearly full efficiency with only a reduced set of discrete power levels, thus making low-cost electronic implementation practical.

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Author information

Authors and Affiliations

  1. Université Laval, Québec, Canada, G1K-7P4

    Philippe Leroux & Sébastien Roy

Authors
  1. Philippe Leroux
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  2. Sébastien Roy
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Editor information

Editors and Affiliations

  1. Ecole Polytechnique Fédérale de Lausanne, CH 1015, Lausanne, Switzerland

    Rachid Guerraoui

  2. LIP, ENS Lyon, 46 allée d’Italie, 69236, Lyon cedex 07, France

    Franck Petit

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© 2009 Springer-Verlag Berlin Heidelberg

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Leroux, P., Roy, S. (2009). Distributed Power Control with Multiple Agents in a Distributed Base Station Scheme Using Macrodiversity. In: Guerraoui, R., Petit, F. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2009. Lecture Notes in Computer Science, vol 5873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05118-0_35

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  • DOI: https://doi.org/10.1007/978-3-642-05118-0_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05117-3

  • Online ISBN: 978-3-642-05118-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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