This paper focuses on advanced pointing strategies enabling high data-rate directional vehicular communications. New emerging technologies aim to meet the challenging performance requirements of enhanced Vehicle-to-Everything (eV2X) applications by using highly collimated beams, which must rely on a very precise beam alignment. In this work, Free-Space Optics (FSO) is considered, and a system architecture is introduced together with algorithms for an accurate alignment of laser beam. The presented architecture exploits on-board sensor data sharing among vehicles to predict the pointing directions for FSO, thus counteracting the detrimental effect of motion, vibrations and tilting of vehicles. A solution is proposed for an accurate prediction of the FSO pointing direction, based on the sharing of vehicle kinematic data over a parallel wireless control link, augmented by prior information extracted from digital maps of the driving environment. Simulation results point out the challenges of a FSO V2V communication and highlight the feasibility of the proposed solution, considering both state of the art technology and future perspective hardware.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sensor and Map-Aided Cooperative Beam Tracking for Optical V2V Communications


    Beteiligte:


    Erscheinungsdatum :

    2020-05-01


    Format / Umfang :

    306584 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Stability analysis of direct-detection cooperative optical beam tracking

    Marola, G. / Santerini, D. / Prati, G. | IEEE | 1989




    Diffraction Characteristics Aided Blockage and Beam Prediction for mmWave Communications

    Li, Xiaogang / Yu, Li / Zhang, Yuxiang et al. | IEEE | 2022


    Optical Sensor for UAS Aided Landing

    Papa, Umberto | Springer Verlag | 2018