Massive connectivity and safety guarantee are two main challenges in 5G vehicular communication networks. In this paper, we proposed a 5G vehicular communication network which provides active road safety application, traffic efficiency application and infotainment application at the same time. For V2V communications, we exploit SCMA(Sparse Code Multiple Access) and full-duplex to provide massive connectivity, which are also promising to reduce the transmission latency and improve the spectrum efficiency. For V2I communications, OFDMA and half- duplex technologies are adopted for traffic efficiency information transmission and entertainment content transmission. Besides, software-defined networking (SDN) and wireless network virtualization (WNV) are also exploited to slice the network into multiple independent slices, which isolates the road safety application from other applications. Then we proposed virtual resource allocation scheme, in which the absolute priority mechanism is applied to ensure the successful transmission of road safety information. The centralized scheduling and virtual resource allocation problem is formulated, and a Lagrangian dual algorithm is developed, which converges to a stable resource allocation scheme after a limited number of iterations. Simulation results show that the proposed mixed SCMA/OFDMA scheme outperforms the traditional orthogonal multiple access scheme in terms of system throughput.


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    Titel :

    Dynamic Virtual Resource Allocation in 5G Vehicular Communication Networks with Mixed SCMA/OFDMA


    Beteiligte:
    Liu, Huifang (Autor:in) / Liu, Gang (Autor:in) / Ma, Zheng (Autor:in) / Tang, Youhua (Autor:in) / Lin, Yuan (Autor:in)


    Erscheinungsdatum :

    2018-06-01


    Format / Umfang :

    396422 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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