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) |
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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 | |
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 |
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Volume | 2017-August |
ISSN (Print) | 1548-3746 |
Other
Other | 60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 |
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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