Joint modulation classification and multi-user detection using multi-modulation sphere decoding

  • Byonghyo Shim*
  • , Insung Kang
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we propose a simple yet effective modulation classification method for ML-based multi-user detection. We show that the proposed method, which is a simplification of Bayesian likelihood ratio test, can be implemented by modifying the sphere decoding algorithm. As a result, the modulation classification as well as the multi-user detection can be jointly achieved with minimal classification overhead. Simulation results in multi-user detection of high-speed downlink packet access (HSDPA) system show that the proposed method offers considerable performance gain over conventional RAKE and MMSE algorithms.

    Original languageEnglish
    Title of host publication2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
    Pages668-671
    Number of pages4
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 - Perugia, Italy
    Duration: 2009 Jun 212009 Jun 24

    Publication series

    NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

    Other

    Other2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
    Country/TerritoryItaly
    CityPerugia
    Period09/6/2109/6/24

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Science Applications
    • Information Systems

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