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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    Title :

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


    Contributors:
    Su, Xin (author) / He, Ruisi (author) / Zhang, Peng (author) / Ai, Bo (author)


    Publication date :

    2024-06-24


    Size :

    463568 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English