Iterative group detection and decoding for large MIMO systems

Jun Won Choi, Byungju Lee, Byonghyo Shim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Recently, a variety of reduced complexity soft-in soft-output detection algorithms have been introduced for iterative detection and decoding (IDD) systems. However, it is still challenging to implement soft-in soft-output detectors for MIMO systems due to heavy burden in computational complexity. In this paper, we propose a soft detection algorithm for MIMO systems which performs close to the full dimensional joint detection, yet offers significant complexity reduction over the existing detectors. The proposed algorithm, referred to as soft-input soft-output successive group (SSG) detector, detects a subset of symbols (called a symbol group) successively using a deliberately designed preprocessing to suppress the inter-group interference. In fact, the proposed preprocessor mitigates the effect of the interfering symbol groups successively using a priori information of the undetected groups and a posteriori information of the detected groups. Simulation results on realistic MIMO systems demonstrate that the proposed SSG detector achieves considerable complexity reduction over the conventional approaches with negligible performance loss.

Original languageEnglish
Article number7387269
Pages (from-to)609-621
Number of pages13
JournalJournal of Communications and Networks
Volume17
Issue number6
DOIs
Publication statusPublished - 2015 Dec 1
Externally publishedYes

Keywords

  • Codebook-based precoding
  • group detection
  • iterative detection and decoding
  • LTE-Advanced
  • multiple-input multiple-output (MIMO)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Fingerprint Dive into the research topics of 'Iterative group detection and decoding for large MIMO systems'. Together they form a unique fingerprint.

  • Cite this