Automotive radar and vehicular communication are the two primary means of establishing an intelligent transportation system. However, both the systems are susceptible to interference. The inter-vehicular interference significantly affects the radar and communication performance, especially in the dense traffic scenarios. In this work, we have shown that lowering down radar range in dense traffic scenario provides twofold advantages; (a) it reduces radar-to-radar interference and, (b) it provides resources to support the vehicular communication. We propose a joint Radar-Communication (R-Comm) algorithm which enables connected vehicles to use a fraction of radar resources for vehicular communication based on the traffic density. Also, two different schemes have been proposed for R-Comm transmission in the sparse and dense traffic scenarios. Further, through simulation results, it is shown that R-Comm benefits both radar and communication systems.


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    Titel :

    R-Comm: A Traffic Based Approach for Joint Vehicular Radar-Communication


    Beteiligte:
    Singh, Rohit (Autor:in) / Saluja, Deepak (Autor:in) / Kumar, Suman (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.03.2022


    Format / Umfang :

    1493590 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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