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A Study on Matrix Inversionless Soft Detection for Massive MIMO Systems

  • Yangzhou University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

In order to achieve the full potential of massive multiple-input multiple-output (MIMO) systems, joint iterative detection and decoding (JIDD) methods are often used. In addition, minimum mean-square-error parallel interference cancellation (MMSE-PIC) technique is usually employed for JIDD-based MIMO systems due to the good trade-off between complexity and performance. In spite of this, the operations of matrix inversion still bring great pressure to the complexity of the system. In this paper, we propose complexity reduced MMSE-PIC detection methods for JIDD schemes. The presented methods combine the Newton iteration method with MMSE-PIC for JIDD systems to reduce the computational complexity of matrix inversion. The simulation results reveal that the proposed methods can reduce the complexity without obvious performance degradation.

Original languageEnglish
Title of host publicationICTC 2019 - 10th International Conference on ICT Convergence
Subtitle of host publicationICT Convergence Leading the Autonomous Future
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-37
Number of pages5
ISBN (Electronic)9781728108926
DOIs
StatePublished - 2019.10
Event10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of
Duration: 2019.10.162019.10.18

Publication series

NameICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

Conference

Conference10th International Conference on Information and Communication Technology Convergence, ICTC 2019
Country/TerritoryKorea, Republic of
CityJeju Island
Period19.10.1619.10.18

Keywords

  • complexity reduced method
  • joint iterative detection and decoding
  • massive MIMO detection
  • matrix inversion
  • MMSE-PIC
  • Newton iteration method

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