Reconfigurable intelligent surface (RIS)-aided tera-hertz (THz) communication is considered as a promising technique for the sixth-generation network. However, employment of hybrid beamforming in THz systems introduces beam split effect, resulting in severe achievable data rate loss. To realize the full potential of RIS-aided THz systems, it becomes crucial to acquire accurate channel state information. Therefore, in this paper, we propose a novel cyclic beam split generalized approximating message passing (CBS-GAMP) channel estimation scheme without requiring the knowledge of number of propagation paths. Specifically, we expand cascaded channels into sparse representations by designing a CBS dictionary, and then we propose the CBS-GAMP algorithm based on statistical inference framework. Numerical simulations demonstrate effectiveness of the proposed CBS-GAMP scheme against the existing solutions.


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    Titel :

    Generalized Approximating Message Passing Based Channel Estimation for RIS-Aided THz Communications with Beam Split


    Beteiligte:
    Su, Xin (Autor:in) / He, Ruisi (Autor:in) / Zhang, Peng (Autor:in) / Ai, Bo (Autor:in)


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    463568 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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