• DocumentCode
    2091918
  • Title

    Improper Gaussian signaling for the K-user SISO interference channel

  • Author

    Yong Zeng ; Yetis, Cenk M. ; Gunawan, Erry ; Yong Liang Guan ; Rui Zhang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5219
  • Lastpage
    5223
  • Abstract
    This paper studies the transmit optimization for the K-user Gaussian single-input single-output interference channel (SISO-IC), with the interference treated as Gaussian noise and by applying improper or circularly asymmetric complex Gaussian signaling. The transmit optimization with improper Gaussian signaling involves not only the signal covariance as in the conventional proper or circularly symmetric complex Gaussian signaling, but also the signal pseudo-covariance, which is conventionally set to zero in proper Gaussian signaling. By utilizing the rate-profile method, the achievable rate region of the K-user SISO-IC is characterized by solving a sequence of minimum-weighted-rate maximization (MinWR-Max) problems, which are non-convex and thus difficult to be solved globally optimally. By applying the semidefinite relaxation (SDR) technique, we propose an efficient approximate solution, which jointly optimizes the covariance and pseudo-covariance of the transmitted signals. Simulation results demonstrate the effectiveness of the proposed algorithm for the K-user SISO-IC with improper Gaussian signaling.
  • Keywords
    Gaussian noise; MIMO communication; concave programming; radiofrequency interference; wireless channels; Gaussian noise; K-user Gaussian single-input single-output interference channel; K-user SISO-IC; MinWR-Max problem; SDR technique; circularly symmetric complex Gaussian signaling; minimum-weighted-rate maximization problem; pseudocovariance signal; semidefinite relaxation technique; signal covariance; Interference channels; Optimization; Receivers; Signal to noise ratio; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655414
  • Filename
    6655414