A lattice-based SCMA codebook design for IoMT communications

Xuewan Zhang, Gangtao Han, Dalong Zhang, Liuqing Yang

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

Abstract

Sparse code multiple access (SCMA) is a competitive non-orthogonal multiple access (NOMA) technique for the internet of medical things (IoMT). The essential problem of SCMA is to design the large scale codebooks with high coding gain. In this article, a new lattice-based codebook design method is proposed to generate the multi-dimensional constellation. Firstly, an optimization problem about multi-dimensional constellations is constructed to quest the real constellation with maximum coding gain. Secondly, by combining the dimensions of the real constellations, we construct the basic complex mother constellation. The mother constellation can increase the power diversity and ensure the constant Euclidean distance between constellation points. Finally, we generate the mother codebooks with designed mapping matrix by constellation rotation. Simulation results demonstrate that the designed codebook has higher coding gain with large codebook size, especially under the high signal to noise ratio (SNR) condition.

Original languageEnglish (US)
Title of host publication2019 IEEE/CIC International Conference on Communications Workshops in China, ICCC Workshops 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-173
Number of pages5
ISBN (Electronic)9781728107387
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event2019 IEEE/CIC International Conference on Communications Workshops in China, ICCC Workshops 2019 - Changchun, China
Duration: Aug 11 2019Aug 13 2019

Publication series

Name2019 IEEE/CIC International Conference on Communications Workshops in China, ICCC Workshops 2019

Conference

Conference2019 IEEE/CIC International Conference on Communications Workshops in China, ICCC Workshops 2019
CountryChina
CityChangchun
Period8/11/198/13/19

Bibliographical note

Funding Information:
This work was supported by Natural Science and Technology Major Projects of China under Grants: 2017ZX03001001-004.

Keywords

  • IoMT
  • Lattice
  • Multi-dimensional constellations
  • NOMA
  • SCMA

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