A low complexity SCMA detector based on stochastic computation

Kaining Han; Jianhao Hu; Jienan Chen; Gerald E. Sobelman

doi:10.1109/MWSCAS.2017.8053040

A low complexity SCMA detector based on stochastic computation

Kaining Han, Jianhao Hu, Jienan Chen, Gerald E. Sobelman

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Sparse Code Multiple Access (SCMA) is a promising multiple access technology candidate for 5G wireless communication systems. The high detection complexity is its bottleneck. Stochastic computation is an ultra-low complexity digital signal processing technique in which probabilities are represented and processed with streams of random bits. In this paper, we propose a novel low complexity stochastic iterative detection approach for SCMA detection based on stochastic computation. We refer it as stochastic SCMA detector. Analysis and simulation results show that the proposed stochastic SCMA detector has only 36% hardware complexity compared to previous state-of-the-art soft input soft output (SISO) SCMA detector with satisfied BER performance.

Original language	English (US)
Title of host publication	2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	783-786
Number of pages	4
ISBN (Electronic)	9781509063895
DOIs	https://doi.org/10.1109/MWSCAS.2017.8053040
State	Published - Sep 27 2017
Event	60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States Duration: Aug 6 2017 → Aug 9 2017

Publication series

Name	Midwest Symposium on Circuits and Systems
Volume	2017-August
ISSN (Print)	1548-3746

Other

Other	60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Country/Territory	United States
City	Boston
Period	8/6/17 → 8/9/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

5G
Sparse Code Multiple Access
Stochastic Computation

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10.1109/MWSCAS.2017.8053040

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Han, K., Hu, J., Chen, J., & Sobelman, G. E. (2017). A low complexity SCMA detector based on stochastic computation. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017 (pp. 783-786). Article 8053040 (Midwest Symposium on Circuits and Systems; Vol. 2017-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2017.8053040

A low complexity SCMA detector based on stochastic computation. / Han, Kaining; Hu, Jianhao; Chen, Jienan et al.
2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 783-786 8053040 (Midwest Symposium on Circuits and Systems; Vol. 2017-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Han, K, Hu, J, Chen, J & Sobelman, GE 2017, A low complexity SCMA detector based on stochastic computation. in 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017., 8053040, Midwest Symposium on Circuits and Systems, vol. 2017-August, Institute of Electrical and Electronics Engineers Inc., pp. 783-786, 60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017, Boston, United States, 8/6/17. https://doi.org/10.1109/MWSCAS.2017.8053040

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A low complexity SCMA detector based on stochastic computation

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