In this paper, adaptive channel state information (CSI) estimation techniques are conceived for intelligent reflective surface (IRS)-assisted single input and single output (SISO) and multiple input multiple output (MIMO) systems. Initially, the input-output system model is derived for an IRS-assisted SISO system, and the block least mean square (BLMS) and block recursive least square (BRLS) techniques are proposed for adaptive CSI estimation. Subsequently, the system model is also determined for IRS-assisted MIMO systems, and the adaptive CSI estimation schemes described above are also extended to this scenario. Convergence analysis is presented and the asymptotic mean square error (MSE) of estimation expressions are determined for the BLMS and BRLS algorithms. Finally, the simulation results are presented to demonstrate the performance and also validate the analytical results derived for the above adaptive CSI estimation schemes for IRS-assisted SISO and MIMO systems.


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    Titel :

    BLMS and BRLS-Based Adaptive CSI Estimation for IRS-Assisted SISO and MIMO Systems


    Beteiligte:


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    916024 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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