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Approximate message passing algorithms for distributed iterative receiver

  • Ziqi Yue*
  • , Qing Guo
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Joint decoding of all users' data symbols can be distributed across a network of interacting base stations by message passing techniques. Instead of discrete belief propagation, the Gaussian belief propagation algorithm (GaBP) is proposed. The approximate message passing algorithm has lower computational complexity. Numerical results show a near optimal performance of the data estimation in terms of the minimum mean square error sense or bit error rate.

Original languageEnglish
Pages (from-to)177-181
Number of pages5
JournalFrequenz
Volume68
Issue number3-4
DOIs
StatePublished - Mar 2014
Externally publishedYes

Keywords

  • Approximate message passing
  • Distributed iterative receiver
  • Gaussian belief propagation

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