The ongoing development towards autonomous traffic requires detailed context information, including highly accurate position estimates. The 5G standard has therefore extended its feature support for positioning and defined six service levels (SLs) to cater to the various commercial use cases. User positioning at millimeter-waves (mmWaves) is considered particularly promising due to the inherent support for angle measurements and the contiguous broad bands. However, in the literature, a comprehensive classification of the achievable SLs with different positioning algorithms under different parameter measurement errors is missing. Based on ray-tracing data, we find that only the lower SLs can be achieved in an urban scenario, whereas SLs 4 to 6 are hard to meet due to the high availability requirements. For such use cases, hybrid positioning is needed to shorten the tail of the error distribution further: We show that positioning with a single base station (BS) is particularly well-suited because the identified network time synchronization problem is bypassed, thus attaining high accuracy at low overhead. Service availability can be improved further by integrating satellite-based estimates.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Characterization of 5G mmWave High-Accuracy Positioning Services for Urban Road Traffic


    Beteiligte:
    Hager, Simon (Autor:in) / Gratza, Niklas (Autor:in) / Wietfeld, Christian (Autor:in)


    Erscheinungsdatum :

    01.06.2023


    Format / Umfang :

    1045537 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Road traffic services supplement rail traffic

    VR-Group Ltd. Corporate Communications Vilhonkatu 13 Postfach 488 FIN - 00101 Helsinki | IuD Bahn | 2002



    High-accuracy Positioning Solutions and Services - Technology and Applications

    Leandro, Rodrigo | British Library Conference Proceedings | 2016


    Urban Road Traffic Bottleneck Identification

    Jiang, Zhaoqian / Cheng, Lin / Zhang, Siyu et al. | ASCE | 2024