Millimeter-wave (mmWave) signals are vulnerable to blockages; as such, we utilize an intelligent reflecting surface (IRS) to provide an alternate path when the line-of-sight (LOS) path is obstructed. Owing to the sparse nature of the cascaded beamspace massive multiple-input multiple-output (mMIMO) channel, we propose a low-complexity beam selection method based on the maximal magnitude (MM) and ant colony optimization (ACO) by considering channel correlation among user terminals (UTs). Simulation results show that the proposed method can achieve near-optimal system sum rate performance with markedly reduced complexity.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Low-complexity Beam Selection for Intelligent Reflecting Surface-aided Millimeter-wave Systems with Lens Antenna Array


    Beteiligte:
    Alimo, David (Autor:in) / Hamamura, Masanori (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    1078841 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Intelligent Reflecting Surfaces Assisted Millimeter Wave MIMO Full Duplex Systems

    Sheemar, Chandan Kumar / Tomasin, Stefano / Slock, Dirk et al. | IEEE | 2023



    User Association in Millimeter Wave Cellular Networks with Intelligent Reflecting Surfaces

    Taghavi, Ehsan Moeen / Alizadeh, Alireza / Rajatheva, Nandana et al. | IEEE | 2021


    Millimeter Wave Antenna with Scanning Beam

    Derkach, V. N. / Vertiy, A. A. | British Library Online Contents | 1999