• DocumentCode
    1786602
  • Title

    A joint detection based on the DS evidence theory for multi-user superposition modulation

  • Author

    Zhao Rui ; Si Zhongwei ; He Zhiqiang ; Niu Kai ; Tian Baoyu

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    19-21 Sept. 2014
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    In this paper we propose a joint dempster-shafer (DS) detection for superposition modulation (SPM) in a non-orthogonal multiple access channel with multiple antenna configuration. Signals from different users are modulated with user-specific modulation factors and then multiplexed for transmission. At the receiver, the DS joint detection recovers all users´ information simultaneously based on the DS evidence theory and the combination rules. The proposed scheme avoids the error propagation associated with the successive interference cancellation (SIC). Simulation results show that the proposed joint DS detection outperforms the conventional minimum mean square error (MMSE) and MMSE-SIC for arbitrarily chosen modulation parameters in almost all the SNR region.
  • Keywords
    antenna arrays; inference mechanisms; interference suppression; modulation; multi-access systems; multiplexing; signal detection; DS evidence theory; MMSE-SIC; SNR region; SPM; combination rules; error propagation; joint Dempster-Shafer detection; minimum mean square error; multiple antenna configuration; multiuser superposition modulation; nonorthogonal multiple access channel; receiver; successive interference cancellation; user-specific modulation factors; Binary phase shift keying; Complexity theory; Interference; Joints; Signal to noise ratio; DS evidence theory; MMSE; SIC; non-orthogonal multiple access; superposition modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4736-2
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2014.7000331
  • Filename
    7000331