Iterative detection and decoding with an improved V-BLAST for MIMO-OFDM systems

Heunchul Lee, Byeongsi Lee, Inkyu Lee

    Research output: Contribution to journalArticlepeer-review

    156 Citations (Scopus)

    Abstract

    Multiple-input-multiple-output (MIMO) systems provide a very promising means to increase the spectral efficiency for wireless systems. By using orthogonal frequency-division multiplexing (OFDM), wideband transmission can be achieved over frequency-selective fading radio channels. First, in this paper, we introduce an improved vertical Bell Labs layered space-time (V-BLAST) receiver which takes the decision errors into account. Second, we propose an iterative detection and decoding (IDD) scheme for coded layered space-time architectures in MIMO-OFDM systems. For the iterative process, a low-complexity demapper is developed by making use of both nonlinear interference cancellation and linear minimum mean-square error filtering. Also, a simple cancellation method based on hard decision is presented to reduce the overall complexity. Simulation results demonstrate that the proposed IDD scheme combined with the improved V-BLAST performs almost as well as the optimal turbo-MIMO approach, while providing tremendous savings in computational complexity.

    Original languageEnglish
    Pages (from-to)504-513
    Number of pages10
    JournalIEEE Journal on Selected Areas in Communications
    Volume24
    Issue number3
    DOIs
    Publication statusPublished - 2006 Mar

    Bibliographical note

    Funding Information:
    Manuscript received January 31, 2005; revised April 29, 2005. This work was supported in part by the Samsung Electronics Research Project (Skypass4G) and in part by the Korea Science and Engineering Foundation under Grant R08-2003-000-10761-0.

    Keywords

    • Iterative detection and decoding (IDD)
    • Multiple-input-multiple-output (MIMO) systems
    • Orthogonal frequency-division multiplexing (OFDM)
    • Vertical bell labs layered space-time (V-BLAST)

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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