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A Low Complexity Detection Algorithm for Fixed Up-Link SCMA System in Mission Critical Scenario

  • Min Jia*
  • , Linfang Wang
  • , Qing Guo
  • , Xuemai Gu
  • , Wei Xiang
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • James Cook University Queensland

Research output: Contribution to journalArticlepeer-review

Abstract

Sparse code multiple access (SCMA), as one of the most promising candidate techniques for the fifth generation communications system, is a nonorthogonal multiple access scheme which can provide large scale connections. Its philosophy is to map coded bits directly to multidimensional sparse codewords, and the message passing algorithm (MPA) is utilized to detect the multiuser signals. However, the relatively high computation of MPA detection may lower the performance when SCMA is implemented in practical applications. The partial marginalization MPA (PM-MPA) helps to reduce the computation of original MPA detection. In this paper, an improved detection scheme based on PM-MPA is proposed. Our analysis and simulation shows that compared with PM-MPA, the improved PM-MPA (IPM-MPA) can obtain a lower bit error ratio. Besides, the simulation also shows that, to achieve the same performance, the IPM-MPA is less complex than PM-MPA.

Original languageEnglish
Article number7906597
Pages (from-to)3289-3297
Number of pages9
JournalIEEE Internet of Things Journal
Volume5
Issue number5
DOIs
StatePublished - Oct 2018
Externally publishedYes

Keywords

  • Internet of Things (IoT)
  • low complexity
  • message passing algorithm (MPA)
  • sparse code multiple access (SCMA)

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