Complexity Reduction Schemes for Gibbs Sampling MIMO Detection with Maximum Ratio Combining

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

    1 Citation (Scopus)

    Abstract

    In this paper, complexity reduction schemes for Gibbs sampling multi-input multi-output (MIMO) detection with maximum ratio combining are proposed. In a conventional Gibbs sampling MIMO detection algorithm, the Gibbs sampling is directly applied to a received signal. Thus, a squared Euclid distance between the received signal vector and a candidate symbol vector is calculated as a metric and it requires (2 × No. of received antennas) multiplication operations. On the other hand, in a proposed algorithm, each candidate symbol is updated with a metric calculated by two multiplication operations. However, after each iteration, another metric is also need to be calculated to select the best candidate symbol vector. To reduce the number of multiplication operations, a summation and subtraction metric (SSM) is applied. Furthermore, as an initial transmitsymbol vector, a zero vector is applied in the conventional and proposed Gibbs sampling MIMO detection algorithms since the receiver can avoid to calculate the pseudo inverse of a channel matrix. The bit error rate performance and the complexities of these schemes are compared with that of QR decomposition with M-algorithm (QRM)-maximum likelihood detection (MLD). Numerical results obtained through computer simulation show that the proposed Gibbs sampling MIMO detection algorithm is less complex when the numbers of transmit signals and received antennas are more than 32x32.

    Original languageEnglish
    Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-5
    Number of pages5
    Volume2018-June
    ISBN (Electronic)9781538663554
    DOIs
    Publication statusPublished - 2018 Jul 20
    Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
    Duration: 2018 Jun 32018 Jun 6

    Other

    Other87th IEEE Vehicular Technology Conference, VTC Spring 2018
    CountryPortugal
    CityPorto
    Period18/6/318/6/6

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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