Enabling Sphere Decoding for SCMA

Monirosharieh Vameghestahbanati, Ebrahim Bedeer Mohamed, Ian Marsland, Ramy Gohary, Halim Yanikomeroglu

Research output: Contribution to journalArticle

12 Citations (Scopus)
4 Downloads (Pure)

Abstract

In this paper, we propose a reduced-complexity optimal modified sphere decoding (MSD) detection scheme for SCMA. As SCMA systems are characterized by a number of resource elements (REs) that are less than the number of the supported users, the channel matrix is rank-deficient, and sphere decoding (SD) cannot be directly applied. Inspired by the Tikhonov regularization, we formulate a new full-rank detection problem that it is equivalent to the original rank-deficient detection problem for constellation points with constant modulus and an important subset of non-constant modulus constellations. By exploiting the SCMA structure, the computational complexity of MSD is reduced compared with the conventional SD. We also employ list MSD to facilitate channel coding. Simulation results demonstrate that in uncoded SCMA systems the proposed MSD achieves the performance of the optimal maximum likelihood (ML) detection. Additionally, the proposed MSD benefits from a lower average complexity compared with MPA.
Original languageEnglish
Pages (from-to)2750-2753
JournalIEEE Communications Letters
Volume21
Issue number12
Early online date31 Aug 2017
DOIs
Publication statusPublished - Dec 2017

Keywords

  • Sparse code multiple access (SCMA)
  • modified list sphere decoding (MSD)
  • maximum likelihood (ML)

Fingerprint Dive into the research topics of 'Enabling Sphere Decoding for SCMA'. Together they form a unique fingerprint.

  • Cite this

    Vameghestahbanati, M., Mohamed, E. B., Marsland, I., Gohary, R., & Yanikomeroglu, H. (2017). Enabling Sphere Decoding for SCMA. IEEE Communications Letters, 21(12), 2750-2753. https://doi.org/10.1109/LCOMM.2017.2747550