A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming

L. Fang, Lu Xu, Qinghua Guo, David Huang, S.E. Nordholm

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    © 2014 IEEE. In this paper, after showing MMSE-SIC suffers from performance loss when the channel is spatially correlated for Massive MIMO, we propose an effective hybrid iterative detection algorithm named partial Gaussian approach with integer programming (PGA-IP) to handle correlated channels. In PGA-IP, a partial gaussian approach is first employed to reduce the massive MIMO detection (with large dimension Nt ×Nr MIMO channel) to a problem of marginalizing M (M is a parameter and M蠐 Nt, Nr) discrete valued symbols over an M-degree quadratic function. Then we employ integer programming which is a tree based branch-and-bound search algorithm to further reduce the complexity of the M-dimensional marginalization. Simulation results show that the proposed PGA-IP outperforms MMSE-SIC by about 5dB under heavily correlated channel with only several times of increased computational complexity. At the same time, with about 5% of the complexity of the exact PGA algorithm, the proposed PGA-IP only suffers marginal performance penalty.
    Original languageEnglish
    Title of host publication2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages463-468
    ISBN (Print)9781479941469
    DOIs
    Publication statusPublished - 2014
    Event2014 IEEE/CIC International Conference on Communications in China - Shanghai, China
    Duration: 13 Oct 201415 Oct 2014

    Conference

    Conference2014 IEEE/CIC International Conference on Communications in China
    CountryChina
    CityShanghai
    Period13/10/1415/10/14

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  • Cite this

    Fang, L., Xu, L., Guo, Q., Huang, D., & Nordholm, S. E. (2014). A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming. In 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 (pp. 463-468). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCChina.2014.7008322