Vehicular fog computing (VFC) that supports inter-vehicular task offloading emerges as a promising complement to handle the explosive growth of computation-intensive tasks in Intelligent Transportation Systems (ITS). Nonetheless, as the fog access points (F-APs) in crowed areas are often overloaded, the conventional single F-AP VFC may become incompetent and energy-inefficient. To tackle the issue, a novel scheme of non-orthogonal multiple access (NOMA)-enabled multi-F-AP VFC with partial offloading is proposed in this work. However, the corresponding energy minimization turns out to be a highly non-trivial non-linear mixed-integer programming problem. To this end, the optimal power allocation is derived by exploiting monotonicity while good task splitting ratio and user association are found through successive convex approximation (SCA)-based interior-point method and game theoretic approach, respectively. Extensive simulations based on MATLAB show that, in the considered scenarios, the proposed scheme can fulfill a more balanced offloading and better exploit the available computing resources, thereby leading to an approximately 30% energy consumption reduction compared to the baselines.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing


    Contributors:
    Lin, Zhijian (author) / Chen, Xiaopei (author) / He, Xiaofan (author) / Tian, Daxin (author) / Zhang, Qingsong (author) / Chen, Pingping (author)


    Publication date :

    2024-07-01


    Size :

    10232381 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Secure Task Offloading Design for UAV- Enabled NOMA Mobile Edge Computing Networks

    Nguyen, Nam T. / Truong, Truong V. / Ha, Duyen M. et al. | IEEE | 2024



    Three-Side Dynamic Task Offloading for Smart Roads Enabled Vehicular Edge Computing

    Wang, Yunpeng / Luo, Quyuan / Hui, Yilong et al. | IEEE | 2020


    Joint Task Offloading and Resource Allocation for NOMA-Based Vehicular Networks

    Song, Yunfei / Gao, Yongqiang / He, Yipei | IEEE | 2024