The cellular vehicle-to-everything (C-V2X) is a crucial technology of the cooperative intelligent transport system (C-ITS) to provide direct communications among vehicles. The sensing-based semi-persistent scheduling (SPS) algorithm is adopted by C-V2X to allocate radio resources dynamically. Considering application scenarios of the internet of vehicles (IoV), there are amount of vehicles, and the hidden-terminal problem is outstanding, which can bring severe interference and reduce the quality of service (QoS) of C-ITS. In the paper, the modified cell transfer model (MCTM) is utilized to estimate traffic density, which can be helpful to perform the optimization of resource allocation to deal with hidden-terminal problems. Based on practical constraints involved with vehicles and C-V2X, a resource management scheme based on game theory is proposed to implement resource selection and power control to enhance the performance of C-ITS with a large number of vehicles. Finally, simulation results demonstrate that the proposed approach can effectively reduce packet collisions, achieve a better transmission rate and ensure the QoS requirements of V2V communication links compared with other methods.


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    Titel :

    A Novel Resource Allocation Approach to C-V2X based internet of vehicle networks with Stackelberg Game


    Beteiligte:
    Luo, Chengcheng (Autor:in) / Yang, Xin (Autor:in) / Wang, Hongwei (Autor:in)


    Erscheinungsdatum :

    19.09.2021


    Format / Umfang :

    735748 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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