An economic cost-saving strategy based on a hybrid 4G-5G offload architecture in vehicular edge computing

作者：Shi, Lei; Zhao, Fei^*; Zhao, Shuangliang; Lyu, Zengwei; Zhang, Yang

来源：International Journal of Sensor Networks, 2023, 42(4): 227-237.

DOI：10.1504/IJSNET.2023.133251

• cost saving
• 5G
• vehicular edge computing
• VEC
• task offloading
• internet of vehicles
• IoV

The excellent transmission performance of 5G provides reliable support for vehicular edge computing (VEC). However, due to the drawbacks of small coverage area and high energy cost of 5G base stations (BSs), long-term usage will bring huge economic costs to service operators. In this paper, we design a new 4G-5G hybrid offload architecture for VEC scenarios. On this basis, we first build the mathematical model and find that it cannot be solved directly. Then we design algorithms for offline and online cases respectively. Simulation results show that our online algorithm (ONA) can significantly reduces the operator's economic cost while achieving a high task success rate, and the effect is better than other comparison schemes. For example, when the number of tasks is 705,600, the economic cost is reduced by 8.47%-48.7% compared to AA, RS and GA scheme.