Telecommunications Science ›› 2017, Vol. 33 ›› Issue (9): 50-57.doi: 10.11959/j.issn.1000-0801.2017226

• research and development • Previous Articles     Next Articles

Research on low complexity decoding for SCMA based on serial strategies of variable node

Mingming JI,Jianhong ZHENG   

  1. School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Revised:2017-07-16 Online:2017-09-01 Published:2017-09-11
  • Supported by:
    The National Science and Technology Major Project of China(2016ZX03002010-003)

Abstract:

Sparse code multiple access technology,as a competitive non orthogonal multiple access scheme for the fifth generation wireless communication network,has a broad application prospect.However,current SCMA uplink use the flooding scheme of message passing algorithm for decoding,both the detection complexity and convergence properties are not ideal.A serial message passing algorithm which changed the information updating strategy was proposed,which performed message processing and deliveried according to the order of the variable nodes.Each of variable node simultaneously performed the reception of the verification message and the transmission of the variable message.The theoretical and simulation results show that the proposed algorithm not only maintains good performance,but also has low decoding complexity.

Key words: sparse code multiple access, multiuser detection, variable node, serial message passing

CLC Number: 

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