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Bit-Interleaved Coded SCMA With Iterative Multiuser Detection: Multidimensional Constellations Design
Southwest Jiaotong Univ, Prov Key Lab Informat Coding & Transmiss, Chengdu 611756, Sichuan, Peoples R China..
Southwest Jiaotong Univ, Prov Key Lab Informat Coding & Transmiss, Chengdu 611756, Sichuan, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
Jinan Univ, Sch Elect & Informat Engn, Zhuhai 519070, Peoples R China..
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2018 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 66, no 11, p. 5292-5304Article in journal (Refereed) Published
Abstract [en]

This paper investigates the constellation/codebook design of a promising uplink multiple access technique, sparse code multiple access (SCMA), proposed for the fifth generation mobile networks. The application of bit-interleaved coded modulation with iterative multiuser detection is considered for uplink SCMA over fading channels. Extrinsic information transfer chart is used to aid the analysis and the design of multidimensional constellations, and the design criteria for multidimensional constellations and labelings optimization are thus established. Furthermore, a new and simple approach of multi-stage optimization for the multidimensional constellation design is proposed for SCMA, to improve the bit-error rate performance and alleviate the complexity of turbo multiuser detection. Numerical and simulation results are also provided to demonstrate the performance and verify the efficiency of the proposed scheme, compared with the state of the art.

Place, publisher, year, edition, pages
IEEE Press, 2018. Vol. 66, no 11, p. 5292-5304
Keywords [en]
Bit-interleaved coded modulation (BICM), extrinsic information transfer (EXIT) chart, multidimensional constellations, sparse code multiple access (SCMA), turbo multiuser detection
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-239801DOI: 10.1109/TCOMM.2017.2782325ISI: 000450191400021Scopus ID: 2-s2.0-85038832845OAI: oai:DiVA.org:kth-239801DiVA, id: diva2:1276580
Conference
IEEE International Conference on Communications (ICC), MAY 21-25, 2017, Paris, FRANCE
Note

QC 20190108

Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-01-09Bibliographically approved

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Xiao, Ming

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