Soft MIMO ML demodulation based on bitwise constellation partitioning

Jungwon Lee, Ji Woong Choi, Hui Ling Lou, Jongsun Park

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this letter, we propose a soft-decoding ML MIMO demodulation method that lowers the complexity of the existing ML method. The proposed method finds the nearest point without calculating the Euclidean distance by exploiting the regular structure of bit-to-symbol mapping. It enables significant reduction of the number of distance calculations which is a major complexity burden.

Original languageEnglish
Pages (from-to)736-738
Number of pages3
JournalIEEE Communications Letters
Volume13
Issue number10
DOIs
Publication statusPublished - 2009 Nov 4

Fingerprint

Demodulation
MIMO systems
Multiple-input multiple-output (MIMO)
Partitioning
Decoding
Euclidean Distance

Keywords

  • Maximum likelihood demodulation
  • MIMO spatial multiplexing
  • Soft-decision decoding

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

Cite this

Soft MIMO ML demodulation based on bitwise constellation partitioning. / Lee, Jungwon; Choi, Ji Woong; Lou, Hui Ling; Park, Jongsun.

In: IEEE Communications Letters, Vol. 13, No. 10, 04.11.2009, p. 736-738.

Research output: Contribution to journalArticle

Lee, Jungwon ; Choi, Ji Woong ; Lou, Hui Ling ; Park, Jongsun. / Soft MIMO ML demodulation based on bitwise constellation partitioning. In: IEEE Communications Letters. 2009 ; Vol. 13, No. 10. pp. 736-738.
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