• DocumentCode
    1551145
  • Title

    Power Control and Beamforming for Femtocells in the Presence of Channel Uncertainty

  • Author

    Oh, Dong-Chan ; Lee, Heui-Chang ; Lee, Yong-Hwan

  • Author_Institution
    Telecommun. R&D Center, Samsung Electron., Suwon, South Korea
  • Volume
    60
  • Issue
    6
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    2545
  • Lastpage
    2554
  • Abstract
    Femtocells that are installed in existing macrocellular networks form a two-tiered heterogeneous network, yielding an interference problem between the two layers. How we can mitigate the interference is of great concern for the deployment of femtocells. When the femto base station has perfect channel information, it can mitigate the interference through transmit power control and beamforming. However, it may not be feasible to get perfect channel information due to unavoidable impairments such as channel estimation, quantization, and feedback delay. In the presence of such channel uncertainty, we consider the combined use of transmit power control and beamforming for femtocells in heterogeneous wireless communication environments. By analyzing the effect of channel uncertainty parameters on the performance, we determine the transmit power level to provide the desired signal-to-interference-plus-noise ratio (SINR) of the indoor cell edge femtouser and the beam weight to maximize the output SINR of the macrousers and femtousers by mitigating interference in a collaborate manner. Finally, simulation results show that the proposed scheme is quite effective in the presence of channel uncertainty.
  • Keywords
    array signal processing; femtocellular radio; interference suppression; power control; telecommunication control; SINR; beam weight; beamforming; channel estimation; channel uncertainty parameters; feedback delay; femto base station; femtocellular network; heterogeneous wireless communication; indoor cell edge femtouser; interference mitigation; interference problem; macrocellular networks; perfect channel information; quantization; signal-to-interference-plus-noise ratio; transmit power control; two-tiered heterogeneous network; Array signal processing; Channel estimation; Femtocells; Interference; Power control; Signal to noise ratio; Uncertainty; Channel uncertainty; femtocell; heterogeneous systems; transmit beamforming; transmit power control;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2011.2158615
  • Filename
    5871725