• DocumentCode
    2090947
  • Title

    Cross-tier interference mitigation in Femto-macro cellular architecture in downlink

  • Author

    Ghaffar, Rizwan ; Pin-Han Ho

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5015
  • Lastpage
    5020
  • Abstract
    Deployment of femtocells faces a significant challenge emanating from the interference from the overlay of macros to the underlay of femtos. This paper focuses on the mitigation of this cross-tier interference in the downlink by limited coordination between femtocells and macrocell. Contesting the natural strategy of orthogonalized transmission thereby eliminating the interference, we propose a spectrum splitting strategy which is based on coordinating this cross-tier interference in a way that the resultant interference is effectively exploited thereby improving the system performance. The problem is posed as a single-agent control problem. Macro base station (BS) is an agent that dynamically swaps its macro users/constellations on its bandwidth to manage the interfering constellations that it produces to its femtocell users. The agent learns the optimal interfering constellation strategy using information from its femto BSs using reinforcement-learning with a Q-learning implementation. Simulation results illustrate the sum rate gain brought about by the proposed strategy of managing interfering constellations for their subsequent exploitation.
  • Keywords
    femtocellular radio; learning (artificial intelligence); radiofrequency interference; Q-learning implementation; cross-tier interference mitigation; femto-macro cellular architecture; femtocell users; femtocells deployment; macro base station; optimal interfering constellation strategy; orthogonalized transmission; reinforcement-learning; single-agent control problem; spectrum splitting strategy; sum rate gain; system performance; Bandwidth; Femtocells; Interference; Macrocell networks; Receivers; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655375
  • Filename
    6655375