• DocumentCode
    3604661
  • Title

    A Fixed Low Complexity Message Pass Algorithm Detector for Up-Link SCMA System

  • Author

    Hang Mu ; Zheng Ma ; Alhaji, Mahamuda ; Pingzhi Fan ; Dageng Chen

  • Author_Institution
    Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China
  • Volume
    4
  • Issue
    6
  • fYear
    2015
  • Firstpage
    585
  • Lastpage
    588
  • Abstract
    Sparse code multiple access (SCMA) is a new modulation and non-orthogonal multiple access scheme for 5G systems, in which the coded bits are mapped to multi-dimensional sparse codewords, and the message passing algorithm (MPA) is employed to detect multi-user signals. However, the relative high computational complexity of MPA detection is still a big concern for practical implementation, even the sparse structure has already been employed. In this letter, a novel fixed low complexity detector for uplink SCMA system is proposed, based on partial marginalization (PM). Our analysis and simulation results show that, compared with the existing MPA detector, the implementation complexity of the new PM-based detector is reduced substantially, while the bit error ratio (BER) performance degrades unnoticeably (less than 0.3 dB).
  • Keywords
    5G mobile communication; computational complexity; error statistics; message passing; modulation; multiuser detection; 5G system; BER performance degradation; bit error ratio performance degradation; coded bit mapping; fixed low complexity message pass algorithm detector; high computational complexity; multidimensional sparse codeword; multiuser signal detection; nonorthogonal multiple access scheme; partial marginalization; sparse code multiple access; uplink SCMA system; 5G mobile communication; Bit error rate; Computational complexity; Detectors; Modulation; Sparse code multiple access; 5G; MPA detector; SCMA; partial marginalization; sparse;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2015.2469668
  • Filename
    7208827