Mimo detection using markov chain monte carlo techniques for near-capacity performance

Haidong Zhu*, Zhenning Shi, Behrouz Farhang-Boroujeny

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Citations (Scopus)

    Abstract

    In this paper, we develop a new soft-in soft-out (SISO) multiple-input multiple-output (MIMO) detection algorithm using the Markov chain Monte Carlo (MCMC) simulation techniques and study its performance when applied to a MIMO communication system. Comparison with the best MIMO detection algorithm in the current literature, the sphere decoding, show that the proposed detection algorithm can improve the gap between the present results and the capacity by as much as 2 dB.

    Original languageEnglish
    Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    PagesIII1016-III1020
    ISBN (Print)0780388747, 9780780388741
    DOIs
    Publication statusPublished - 2005
    Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
    Duration: 18 Mar 200523 Mar 2005

    Publication series

    NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    VolumeIII
    ISSN (Print)1520-6149

    Conference

    Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
    Country/TerritoryUnited States
    CityPhiladelphia, PA
    Period18/03/0523/03/05

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