• DocumentCode
    272689
  • Title

    Interference coordination for dense wireless networks

  • Author

    Soret, Beatriz ; Pedersen, Klaus I. ; Jørgensen, Niels T. K. ; Fernández-López, Víctor

  • Volume
    53
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan-15
  • Firstpage
    102
  • Lastpage
    109
  • Abstract
    The promise of ubiquitous and super-fast connectivity for the upcoming years will be in large part fulfilled by the addition of base stations and spectral aggregation. The resulting very dense networks (DenseNets) will face a number of technical challenges. Among others, the interference emerges as an old acquaintance with new significance. As a matter of fact, the interference conditions and the role of aggressor and victim depend to a large extent on the density and the scenario. To illustrate this, downlink interference statistics for different 3GPP simulation scenarios and a more irregular and dense deployment in Tokyo are compared. Evolution to DenseNets offers new opportunities for further development of downlink interference cooperation techniques. Various mechanisms in LTE and LTE-Advanced are revisited. Some techniques try to anticipate the future in a proactive way, whereas others simply react to an identified interference problem. As an example, we propose two algorithms to apply time domain and frequency domain small cell interference coordination in a DenseNet.
  • Keywords
    3G mobile communication; Long Term Evolution; radio networks; radiofrequency interference; 3GPP simulation; DenseNets; LTE mechanisms; LTE-Advanced; base stations; dense wireless networks; downlink interference cooperation techniques; downlink interference statistics; frequency domain small cell interference coordination; spectral aggregation; time domain small cell interference coordination; Dense estimation; Downlink; Frequency-domain analysis; Interference cancellation; Long Term Evolution; Receivers; Time-domain analysis; Wireless networks;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7010522
  • Filename
    7010522