• DocumentCode
    3541618
  • Title

    Robust interference channel transmission using sparsity enhanced mismatch model

  • Author

    Chang, Chieh-Yao ; Fung, Carrson C.

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    836
  • Lastpage
    839
  • Abstract
    Herein a maximin-SNR robust precoder design is proposed for MIMO cognitive radio transmission when inaccurate channel estimate is present. The proposed scheme exploits the structural property of the statistical transmit covariance matrix to increase the degree of freedom in the mismatch model related to the channel matrix. Simulation results show that the proposed scheme outperforms previously proposed methods in terms of SER under certain conditions. The performance gain is obtained at the cost of increased interference level toward the primary user, but without violating the average interference power constraint. Analytical and simulation results are given to support the efficacy of the proposed scheme. Furthermore, analysis is carried out to differentiate the performance given by the lower bound method and S-Procedure method.
  • Keywords
    MIMO communication; channel estimation; cognitive radio; covariance matrices; precoding; radiofrequency interference; MIMO cognitive radio transmission; S-procedure method; average interference power constraint; channel estimate; channel matrix; degree of freedom; lower bound method; maximin-SNR robust precoder design; robust interference channel transmission; sparsity enhanced mismatch model; statistical transmit covariance matrix; structural property; Cognitive radio; Covariance matrix; Interference; MIMO; Robustness; Signal to noise ratio; Uncertainty; Interference avoidance; MIMO; cognitive radio; imperfect channels; precoder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319836
  • Filename
    6319836