• DocumentCode
    2890802
  • Title

    Interference Cancellation and Detection Using Precoders

  • Author

    Li, Feng ; Jafarkhani, Hamid

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We consider interference cancellation for a system with two users when users know each other channels. The goal is to utilize channel information to cancel the interference without sacrificing the diversity or the complexity of the system. Before, in the literature, it was shown how a receiver with 2 receive antennas can completely cancel the interference of two users and provide a diversity of 2 for users with 2 transmit antennas. We propose a system to achieve the maximum possible diversity of 4 with low complexity. Our main idea is to design pre-coders, using the channel information, to make it possible for different users to transmit over orthogonal spaces. Then, using the orthogonality of the transmitted signals, the receiver can separate them and decode the signals independently. We analytically prove that the system provides full diversity to both users. In addition, we provide simulation results that confirm our analytical proof.
  • Keywords
    antenna arrays; interference suppression; multiuser detection; precoding; receiving antennas; transmitting antennas; channel information; interference cancellation; interference detection; multiuser detection; orthogonal spaces; system complexity; system diversity; transmit antennas; Analytical models; Antenna arrays; Block codes; Interference cancellation; Interference suppression; Maximum likelihood decoding; Multiuser detection; Receiving antennas; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199091
  • Filename
    5199091