• DocumentCode
    1371832
  • Title

    Multiple-Antenna Interference Cancellation and Detection for Two Users Using Precoders

  • Author

    Li, Feng ; Jafarkhani, Hamid

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA, USA
  • Volume
    3
  • Issue
    6
  • fYear
    2009
  • Firstpage
    1066
  • Lastpage
    1078
  • Abstract
    We consider interference cancellation for a system with two users when users know each other channels. The goal is to utilize multiple antennas 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 two receive antennas can completely cancel the interference of two users and provide a diversity of 2 for users with two transmit antennas. We propose a system to achieve the maximum possible diversity of 4 with low complexity. Then, we extend the results to two-user systems with any number of transmit and receive antennas. Our main idea is to design precoders, 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; codecs; computational complexity; diversity reception; interference suppression; receiving antennas; telecommunication channels; transmitting antennas; channel information; multiple-antenna interference cancellation; precoders; receive antennas; transmit antennas; Antenna arrays; Block codes; Feedback; Interference cancellation; Maximum likelihood decoding; Maximum likelihood detection; Multiuser detection; Receiving antennas; Transmitters; Transmitting antennas; Interference cancellation; multi-user detection; multiple antennas; orthogonal designs; precoder;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2009.2035799
  • Filename
    5370669