• DocumentCode
    561235
  • Title

    A survey on space-time & high-rate redundant

  • Author

    Bavafa, M. ; Hanjani, Zahra Taheri ; Navidi, N.

  • Author_Institution
    Natanz Branch, Islamic Azad Univ., Natanz, Iran
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    154
  • Lastpage
    158
  • Abstract
    We present a new space-time encoder based on packet-level redundancy which can increase the space-time encoder rate beyond unity without compromising diversity gains. A complementary low-complexity decoding algorithm based on maximum ratio combining and successive interference cancelation is further proposed. A major merit of the decoding algorithm is that it allows to adaptively tradeoff between diversity and multiplexing gains based on the estimated channel parameters at the receiver without requiring any channel state information at the transmitter. System level simulation results give insight into the advantages of the proposed scheme when compared to its Alamouti and MIMO multiplexing based on single value decomposition counterparts.
  • Keywords
    MIMO communication; channel coding; decoding; diversity reception; interference suppression; multiplexing; redundancy; singular value decomposition; space-time codes; Alamouti codes; MIMO multiplexing; channel state information; complementary low-complexity decoding algorithm; diversity gains; maximum ratio combining; multiplexing gains; packet-level redundancy; receiver; single value decomposition; space-time encoder; successive interference cancellation; system level simulation; transmitter; Decoding; Interference; Multiplexing; Receiving antennas; Signal to noise ratio; Space time codes; Transmitting antennas; High-Rate Coding; MIMO; Redundant; multiplexing; space-time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions (ICITST), 2011 International Conference for
  • Conference_Location
    Abu Dhabi
  • Print_ISBN
    978-1-4577-0884-8
  • Type

    conf

  • Filename
    6148372