• DocumentCode
    3311205
  • Title

    An Adaptive Transmit Antenna Selection and Power Allocation Scheme for V-BLAST System under Imperfect Channel State Information

  • Author

    Chen Xiao-min ; Xu Da-zhuan ; Yu Xiang-bin ; Zhu Qiu-ming

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    298
  • Lastpage
    300
  • Abstract
    We propose an adaptive transmit antennas selection and transmit power allocation scheme for Vertical-Bell Laboratories Layered Space-Time system in the presence of channel state information imperfection. At the transmitter, based on imperfect channel state information, the proposed scheme is used to select a subset of transmit antennas and allocate proper power for the selected antennas subjected to the total transmit power constraint. At the receiver the modified minimum mean square error detector which takes into account the error of channel estimation is used to remove the co-antenna interference in order to improve bit error rate performance further. Simulation results show that the proposed algorithm can improve bit error rate performance significantly.
  • Keywords
    adaptive antenna arrays; channel estimation; error statistics; least mean squares methods; V-BLAST system; Vertical-Bell Laboratories Layered Space-Time system; adaptive transmit antenna selection; bit error rate; channel estimation; co-antenna interference; imperfect channel state information; modified minimum mean square error detector; power allocation scheme; Adaptive arrays; Bit error rate; Channel estimation; Channel state information; Detectors; Interference constraints; Laboratories; Mean square error methods; Transmitters; Transmitting antennas; V-BLAST; imperfect channel state information; transmit antenna selection and power allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.294
  • Filename
    4908464