Low Complexity MPA Detector Based on Sphere Decoding for SCMA

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number7909024
Pages (from-to)1855-1858
Journal / PublicationIEEE Communications Letters
Volume21
Issue number8
Online published20 Apr 2017
Publication statusPublished - Aug 2017

Abstract

Sparse code multiple access (SCMA) has been proposed to obtain high capacity and support massive connections. Due to the sparse feature of codewords, SCMA achieves low complexity multiuser detection by utilizing message passing algorithm (MPA). However, the complexity reduction of MPA is still a significant issue. In this letter, a novel MPA based on sphere decoding, called SD-MPA, is proposed, which narrows down the range of believable superposed constellation points. Furthermore, simulation results show that SD-MPA detector can reach low complexity detection and maintain negligible bit error ratio performance decline compared with conventional MPA.

Research Area(s)

  • message passing algorithm (MPA), Sparse code multiple access (SCMA), sphere decoding, superposed constellation points (SCPs)

Citation Format(s)

Low Complexity MPA Detector Based on Sphere Decoding for SCMA. / Yang, Lin; Ma, Xinying; Siu, Yunming.

In: IEEE Communications Letters, Vol. 21, No. 8, 7909024, 08.2017, p. 1855-1858.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review