Energy efficient design of cognitive small cells

Matthias Wildemeersch, Matthias Wildemeersch, Tony Q.S. Quek, Alberto Rabbachin, Cornelis H. Slump, Aiping Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
17 Downloads (Pure)

Abstract

Heterogeneous networks consisting of a macrocell tier and a small cell tier are considered an attractive solution to cope with the fierce increase of mobile traffic demand. Nevertheless, a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption. Motivated by growing environmental awareness and the high price of energy, the design of energy efficient wireless systems for both macrocells and small cells becomes crucial. In this work, we analyze the trade-off between traffic offloading from the macrocell and the energy consumption of the small cell. Using tools from stochastic geometry, we define the user detection performance of the SAP and derive the small cell capacity accounting for the uncertainties associated with the random position of the user, the propagation channel, activity of the users, and the aggregate network interference. The proposed framework yields design guidelines for energy efficient small cells.
Original languageUndefined
Title of host publicationIEEE International Conference on Communications - Cognitive Radio and Networks Symposium
EditorsDong-In Kim, P. Mueller
Place of PublicationUSA
PublisherIEEE Communications Society
Pages2701-2706
Number of pages6
ISBN (Print)978-1-4673-3122-7
DOIs
Publication statusPublished - 9 Jun 2013

Publication series

Name
PublisherIEEE Communications Society
NumberIEEE Catal
ISSN (Print)1550-3607

Keywords

  • EWI-24599
  • METIS-304034
  • IR-89839

Cite this

Wildemeersch, M., Wildemeersch, M., Quek, T. Q. S., Rabbachin, A., Slump, C. H., & Huang, A. (2013). Energy efficient design of cognitive small cells. In D-I. Kim, & P. Mueller (Eds.), IEEE International Conference on Communications - Cognitive Radio and Networks Symposium (pp. 2701-2706). USA: IEEE Communications Society. https://doi.org/10.1109/ICC.2013.6654945
Wildemeersch, Matthias ; Wildemeersch, Matthias ; Quek, Tony Q.S. ; Rabbachin, Alberto ; Slump, Cornelis H. ; Huang, Aiping. / Energy efficient design of cognitive small cells. IEEE International Conference on Communications - Cognitive Radio and Networks Symposium. editor / Dong-In Kim ; P. Mueller. USA : IEEE Communications Society, 2013. pp. 2701-2706
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Wildemeersch, M, Wildemeersch, M, Quek, TQS, Rabbachin, A, Slump, CH & Huang, A 2013, Energy efficient design of cognitive small cells. in D-I Kim & P Mueller (eds), IEEE International Conference on Communications - Cognitive Radio and Networks Symposium. IEEE Communications Society, USA, pp. 2701-2706. https://doi.org/10.1109/ICC.2013.6654945

Energy efficient design of cognitive small cells. / Wildemeersch, Matthias; Wildemeersch, Matthias; Quek, Tony Q.S.; Rabbachin, Alberto; Slump, Cornelis H.; Huang, Aiping.

IEEE International Conference on Communications - Cognitive Radio and Networks Symposium. ed. / Dong-In Kim; P. Mueller. USA : IEEE Communications Society, 2013. p. 2701-2706.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AU - Wildemeersch, Matthias

AU - Wildemeersch, Matthias

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AU - Huang, Aiping

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AB - Heterogeneous networks consisting of a macrocell tier and a small cell tier are considered an attractive solution to cope with the fierce increase of mobile traffic demand. Nevertheless, a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption. Motivated by growing environmental awareness and the high price of energy, the design of energy efficient wireless systems for both macrocells and small cells becomes crucial. In this work, we analyze the trade-off between traffic offloading from the macrocell and the energy consumption of the small cell. Using tools from stochastic geometry, we define the user detection performance of the SAP and derive the small cell capacity accounting for the uncertainties associated with the random position of the user, the propagation channel, activity of the users, and the aggregate network interference. The proposed framework yields design guidelines for energy efficient small cells.

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Wildemeersch M, Wildemeersch M, Quek TQS, Rabbachin A, Slump CH, Huang A. Energy efficient design of cognitive small cells. In Kim D-I, Mueller P, editors, IEEE International Conference on Communications - Cognitive Radio and Networks Symposium. USA: IEEE Communications Society. 2013. p. 2701-2706 https://doi.org/10.1109/ICC.2013.6654945