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

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 comp...

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Main Authors: Mingming JI, Jianhong ZHENG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-09-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017226/
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author Mingming JI
Jianhong ZHENG
author_facet Mingming JI
Jianhong ZHENG
author_sort Mingming JI
collection DOAJ
description 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.
format Article
id doaj-art-024b5504e7f948bfbcb5f2a230bdef26
institution Kabale University
issn 1000-0801
language zho
publishDate 2017-09-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-024b5504e7f948bfbcb5f2a230bdef262025-01-15T03:06:09ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-09-0133505759600077Research on low complexity decoding for SCMA based on serial strategies of variable nodeMingming JIJianhong ZHENGSparse 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017226/sparse code multiple accessmultiuser detectionvariable nodeserial message passing
spellingShingle Mingming JI
Jianhong ZHENG
Research on low complexity decoding for SCMA based on serial strategies of variable node
Dianxin kexue
sparse code multiple access
multiuser detection
variable node
serial message passing
title Research on low complexity decoding for SCMA based on serial strategies of variable node
title_full Research on low complexity decoding for SCMA based on serial strategies of variable node
title_fullStr Research on low complexity decoding for SCMA based on serial strategies of variable node
title_full_unstemmed Research on low complexity decoding for SCMA based on serial strategies of variable node
title_short Research on low complexity decoding for SCMA based on serial strategies of variable node
title_sort research on low complexity decoding for scma based on serial strategies of variable node
topic sparse code multiple access
multiuser detection
variable node
serial message passing
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017226/
work_keys_str_mv AT mingmingji researchonlowcomplexitydecodingforscmabasedonserialstrategiesofvariablenode
AT jianhongzheng researchonlowcomplexitydecodingforscmabasedonserialstrategiesofvariablenode