Multi-User Detections for Sparse Code Multiple Access System

Joonki Kim, Daesik Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a new multi-user detection scheme for sparse code multiple access (SCMA) system in grant-free scenario. SCMA systems use a message passing algorithm which considers all user equipments (UEs) to be active. However, in a practical system, UEs do not always request resources. A multi-user detection procedure enables the decoder to mitigate interference from proper active UEs and to ignore the signal from inactive UEs. Therefore, we propose a multi-user detection scheme for SCMA system. The simulation results present that the proposed SCMA receiver structure achieves a remarkable enhancement in false alarm probability, miss detection probability.

Original languageEnglish
Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538663585
DOIs
Publication statusPublished - 2018 Jul 2
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 2018 Aug 272018 Aug 30

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-August
ISSN (Print)1550-2252

Conference

Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
CountryUnited States
CityChicago
Period18/8/2718/8/30

Fingerprint

Multiuser Detection
Multiuser detection
Multiple Access
Message-passing Algorithms
Detection Probability
Message passing
False Alarm
Receiver
Enhancement
Interference
Scenarios
Resources
Simulation

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Kim, J., & Hong, D. (2018). Multi-User Detections for Sparse Code Multiple Access System. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings [8690743] (IEEE Vehicular Technology Conference; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2018.8690743
Kim, Joonki ; Hong, Daesik. / Multi-User Detections for Sparse Code Multiple Access System. 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (IEEE Vehicular Technology Conference).
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Kim, J & Hong, D 2018, Multi-User Detections for Sparse Code Multiple Access System. in 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings., 8690743, IEEE Vehicular Technology Conference, vol. 2018-August, Institute of Electrical and Electronics Engineers Inc., 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, United States, 18/8/27. https://doi.org/10.1109/VTCFall.2018.8690743

Multi-User Detections for Sparse Code Multiple Access System. / Kim, Joonki; Hong, Daesik.

2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8690743 (IEEE Vehicular Technology Conference; Vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper proposes a new multi-user detection scheme for sparse code multiple access (SCMA) system in grant-free scenario. SCMA systems use a message passing algorithm which considers all user equipments (UEs) to be active. However, in a practical system, UEs do not always request resources. A multi-user detection procedure enables the decoder to mitigate interference from proper active UEs and to ignore the signal from inactive UEs. Therefore, we propose a multi-user detection scheme for SCMA system. The simulation results present that the proposed SCMA receiver structure achieves a remarkable enhancement in false alarm probability, miss detection probability.

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Kim J, Hong D. Multi-User Detections for Sparse Code Multiple Access System. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8690743. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2018.8690743