Intelligent Reflective Surface (IRS) is a promising technique for Beyond 5G and 6G wireless communications. IRS is comprised of plenty of passive reflecting elements that an external controller is able to control by software. To develop the great potential of IRS-aided wireless communication system, we should get a full understanding of Channel State Information (CSI). However, it’s an exceedingly challengeable task for channel estimation in IRS-aided system. In this paper, we propose a residual neural network to achieve cascaded channel estimation for an IRS-aided multiple-input multiple-output (MIMO) communication system. Numerical results prove the effectiveness and high robustness of our Deep Learning (DL) method.


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    Titel :

    Channel Estimation for IRS Aided MIMO System with Neural Network Solution


    Beteiligte:
    Gu, ZhiJian (Autor:in) / He, Chunlong (Autor:in) / Huang, Zanhai (Autor:in) / Xiao, Ming (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    1030314 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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