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Low-complexity iterative PIC-MMSE based detection with symbol mapping

  • Yangzhou University
  • Dawood University of Engineering & Technology

Research output: Contribution to conferenceConference paperpeer-review

Abstract

The iterative detection and decoding technique based on parallel interference cancellation (PIC) has received considerable attention. To reduce the computational complexity in the estimation of soft bit information, this paper proposes to apply the symbol mapping technique to the PIC-MMSE based MIMO detector. In each layer, the PIC-MMSE filtered symbol is normalized and mapped to a specific range of the first quadrant in a recursive manner. In addition, we present an efficient method to calculate the soft symbols in the PIC process. Simulation results show that the complexity of the proposed method with symbol mapping is reduced to linear-order without performance degradation, and the complexity of the soft symbols computation is greatly reduced as well.

Original languageEnglish
Title of host publication2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021437
DOIs
StatePublished - 2016.10.21
Event2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 - Chengdu, China
Duration: 2016.07.272016.07.29

Publication series

Name2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

Conference

Conference2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
Country/TerritoryChina
CityChengdu
Period16.07.2716.07.29

Keywords

  • Iterative detection and decoding
  • MIMO detection
  • PIC-MMSE
  • soft bit estimation
  • symbol mapping

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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