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

作者：Lin, Zhijian; Chen, Xiaopei; He, Xiaofan^*; Tian, Daxin; Zhang, Qingsong; Chen, Pingping^*

来源：IEEE Transactions on Intelligent Transportation Systems, 2024.

DOI：10.1109/TITS.2023.3349006

• Non-orthogonal multiple access (NOMA)
• vehicular fog computing (VFC)
• partial offloading
• energy consumption

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.

• 单位
  福州大学; 武汉大学; 北京航空航天大学