IDEAS home Printed from https://ideas.repec.org/h/spr/oprchp/978-3-319-55702-1_53.html
   My bibliography  Save this book chapter

Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks

In: Operations Research Proceedings 2016

Author

Listed:
  • David Lynch

    (University College Dublin)

  • Michael Fenton

    (University College Dublin)

  • Stepan Kucera

    (Bell Laboratories, Nokia)

  • Holger Claussen

    (Bell Laboratories, Nokia)

  • Michael O’Neill

    (University College Dublin)

Abstract

Operators deploy Small Cells in high traffic regions to boost the capacity of their wireless networks. However, User Equipments (UEs) at Small Cell edges experience severe interference from neighbouring high-powered Macro Cells. A fair trade-off between cell-edge and cell-centre performance can be realised by intelligently scheduling Small Cell attached UEs. Grammar-based Genetic Programming is employed to learn models that map measurement reports to schedules on a millisecond timescale. The evolved schedulers are then aggregated into ensembles. The proposed system significantly outperforms a state of the art benchmark algorithm and is within 10% of the estimated optimum.

Suggested Citation

  • David Lynch & Michael Fenton & Stepan Kucera & Holger Claussen & Michael O’Neill, 2018. "Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 399-404, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_53
    DOI: 10.1007/978-3-319-55702-1_53
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:oprchp:978-3-319-55702-1_53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.