• DocumentCode
    2785517
  • Title

    Pareto Optimal SINR Scheduling for Femto-Cell Deployment in Wireless Networks

  • Author

    Burchardt, Harald ; Sinanovic, Sinan ; Auer, Gunther ; Haas, Harald

  • Author_Institution
    Inst. for Digital Commun., Joint Res. Inst. for Signal & Image Process., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, Pareto Femto-Cell Scheduling (PFCS), a novel scheduling mechanism for randomly deployed femto-cells, is presented. Here, the signal-to-interference-plus-noise ratio (SINR) targets of femto-users are adapted such that the sufficient conditions for Pareto optimal power control (POPC) are fulfilled. Furthermore, interference from full bandwidth users is managed such that as many mobile stations (MSs) as possible can transmit. Due to the random nature of femto-base station (FBS) deployment, interference graphs are used to group femto-cells (and hence, users) such that target spectral efficiencies can be achieved at Pareto optimum power. Simulation results show that PFCS achieves significant system capacity gains over other SINR-target-based power allocation techniques, while maximising coverage in dense mobile environments. Furthermore, substantial power savings can be achieved.
  • Keywords
    Pareto optimisation; femtocellular radio; radio spectrum management; radiofrequency interference; scheduling; FBS deployment; MS; PFCS; POPC; Pareto femto-cell scheduling; Pareto optimal SINR scheduling; Pareto optimal power control; SINR-target-based power allocation technique; femto-base station; femto-cell deployment; femto-user; interference graph; mobile environment; mobile station; power saving; signal-to-interference-plus-noise ratio; spectral efficiencies; system capacity; wireless network; Gain; Interference; Pareto optimization; Power control; Resource management; Signal to noise ratio; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6399188
  • Filename
    6399188