• DocumentCode
    1787614
  • Title

    Robust beamforming for two-user MISO broadcasting channel with delayed CSIT

  • Author

    Yi Luo ; Huiqin Du ; Ratnarajah, Tharm

  • Author_Institution
    Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    Recently proposed MAT1 scheme achieves high degrees of freedom (DoF) by exploiting delayed channel state information at transmitter side (CSIT) and the concept of interference alignment (IA), where the interference vectors of different time slots are aligned. As the starting work, MAT scheme considers no flexibility when reconstructing symbols at the third time slot, which may lead to performance degradation once the channel varies. In this paper, a probabilistic optimization problem is proposed with the assumption that the unknown channel entries follow given distribution. Instead of maximizing the sum rate directly, we strive to maximize the signal power while keeping the high probability that the interference power is lower than a pre-specified threshold. The Monte Carlo simulation results show that the proposed scheme outperforms the MAT scheme and dual SINR scheme with various channel uncertainties.
  • Keywords
    Monte Carlo methods; antenna arrays; array signal processing; broadcast channels; optimisation; wireless channels; Monte Carlo simulation; delayed CSIT; delayed channel state information at transmitter side; high degrees of freedom; interference alignment; multiple antenna system; probabilistic optimization problem; robust beamforming; third time slot; two-user MISO broadcasting channel; Interference; Optimization; Probabilistic logic; Receivers; Robustness; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
  • Conference_Location
    A Coruna
  • Type

    conf

  • DOI
    10.1109/SAM.2014.6882365
  • Filename
    6882365