• DocumentCode
    2374662
  • Title

    Coordinated beamforming using semidefinite programming

  • Author

    Le, Tuan Anh ; Nakhai, Mohammad Reza

  • Author_Institution
    Centre for Telecommun. Res., King´´s Coll. London, London, UK
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    3790
  • Lastpage
    3794
  • Abstract
    In this paper, we study a coordinated beamforming (CBF) scheme for a multi-cell scenario where precoding/beamforming vectors for all coordinating base stations (BSs) are jointly designed in a manner that each BS transmits to its local users. We minimise the total transmit power across coordinating BSs while keeping the signal-to-interference-plus-noise ratio (SINR) at each user above the required level. We formulate the optimisation problem for CBF in a standard semidefinite programming form using instantaneous channel state information. Then, taking into consideration the uncertainty in the estimation of channel covariance matrix, we formulate the CBF problem based on the second order statistical properties of channel so that the robustness of the designed system parameters is guaranteed within a tolerable channel estimation error. We show that, although this robustness comes at the expense of increased overall power, a significant reduction in signaling overhead can be attained with a minor increase in total transmit power at moderately low SINRs.
  • Keywords
    array signal processing; cellular radio; channel estimation; covariance matrices; mathematical programming; precoding; radio transmitters; radiofrequency interference; statistical analysis; telecommunication signalling; vectors; BS; CBF scheme; SINR; channel covariance matrix estimation uncertainty; channel estimation error; coordinated beamforming; coordinating base station; instantaneous channel state information; multicell scenario; optimisation problem; power across transmission; precoding-beamforming vector; robustness; second order statistical property; signal-to-interference-plus-noise ratio; signaling overhead reduction; standard semidefinite programming form; Array signal processing; Covariance matrix; Interference; Optimization; Signal to noise ratio; Standards; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364232
  • Filename
    6364232