Integrated sensing, communication, and computation (ISCC) has become one of the research hotspots focused on the sixth generation (6G) communication systems. However, due to the demand for the coexistence of sensing, communication, and computing functions, there is uneven scheduling of resources among all parties, resulting in difficulties in accurately perceiving the environment, processing massive data efficiently in real-time, and experiencing large latency in task processing in the Internet of Vehicles (IoV). In this work, we propose a novel wireless scheduling architecture to enhance the coordination gains of sensing, communication, and computation from a perspective of joint optimization, enabling true on-demand services. Specifically, we first adopt the modified Cobb-Douglas utility function, the communication rate, perception of mutual information (MI), and calculation delay as coordinated gains. Next, we formulate a joint user association and subchannel assignment problem to capture the network externalities induced by resource competition among vehicle user devices (VUEs) with multi-functional requirements. To achieve a mutually satisfactory solution, we propose the dung beetle optimizer (DBO) algorithm to maximize the average utility of all VUEs in the network. Simulation results show that, compared with the baseline algorithm, the average utility gain of the proposed algorithm can reach up to 7.21%.


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    Titel :

    Joint Optimization Scheme for User Association and Resource Allocation in Internet of Vehicles


    Beteiligte:
    Yang, Junyi (Autor:in) / Fu, Yuchuan (Autor:in) / Li, Changle (Autor:in) / Yuan, Xiaoming (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    1097102 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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