5G New Radio (NR) incorporates numerous beam-based novel features such as beam management procedures for selecting the best serving gNB beam, recovery from beam failures, beam-based inter-cell mobility support and advanced UEs with multiple directional panels. In this paper, we study the joint performance of all these techniques for a macro cellular scenario at 28 GHz with special emphasis on how the UE antenna design influences the system-level performance. It is shown that the full benefits of 5G can be delivered with the introduction of multiple directional antenna panels at the UE side. We also introduce a mechanism for controlling the UE antenna panel switching. Our results from advanced dynamic system-level simulations indicate excellent performance with handover failure rates on the order of 0.01-0.03%, and beam failure rates at 0.04%, for UE speeds as high as 60 km/h. The median SINR gain of using four directional antenna panels at the UE equals 6 dB as compared to Omni UEs.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    System-Level Analysis of mmWave 5G Systems with Different Multi-Panel Antenna Device Models


    Beteiligte:
    Abinader, Fuad (Autor:in) / Rom, Christian (Autor:in) / Pedersen, Klaus (Autor:in) / Hailu, Sofonias (Autor:in) / Kolehmainen, Niko (Autor:in)


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    1771005 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Analysis of Different Planar Antenna Arrays for mmWave Massive MIMO Systems

    Tan, Weiqiang / Assimonis, Stylianos D. / Matthaiou, Michail et al. | IEEE | 2017



    System-Level Performance of Different Array Types for an Indoor mmWave System

    Thomas, Timothy A. / Vook, Frederick W. / Visotsky, Eugene et al. | IEEE | 2015



    A wideband mmWave antenna element with an unbalanced feed

    Landgren, David W. / Cook, Kevin R. / Dykes, Daniel J. P. et al. | IEEE | 2017