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

发表刊物：International Journal of Sensor Networks

年份：September 2023

摘要：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&39;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.

参考文献拷贝字段：Lei Shi, Fei Zhao, Shuangliang Zhao, Zengwei Lyu, Yang Zhang. An Economic Cost-saving Strategy based on a Hybrid 4G-5G Offload Architecture in Vehicular Edge Computing [J]. International Journal of Sensor Networks, 2023, 42(4): 227-237.