摘要
移动边缘计算赋予了资源受限的移动设备处理计算密集型任务的能力,而无人机进一步增强了这一能力。在多无人机为多地面用户提供边缘计算服务的场景中,无人机通过优化自身位置和对计算资源的定价,力求自身收益最大化。地面用户通过优化自身的卸载策略和请求的计算资源量,使得自身开销最小化。通过以无人机为领导者,以地面用户为跟随者,建立了斯坦伯格博弈模型,然后证明了纳什均衡解的存在性,并找到了这一均衡解。仿真结果表明,地面用户开销能够得到显著降低,且提高了无人机收益。
MEC(Mobile Edge Computing)gives resource constrained mobile devices the ability to handle computationally intensive tasks,and UAV(Unmanned Aerial Vehicle)further enhance this ability.In the scenario where multiple UAVs provide edge computing services for multiple GUEs(Ground User Equipments),UAVs strive to maximize their revenue by optimizing their position and pricing of computing resources,while GUEs minimize their own overhead by optimizing their offloading strategy and the amount of computing resources requested.The Stackelberg game model is established by taking UAVs as the leaders and GUEs as followers.Then the existence of NE(Nash Equilibrium)solution is proved and the NE point is found.Simulation results show that the overhead of GUEs can be significantly reduced and the revenue of UAVs be increased.
作者
崔岩
姚叶
CUI Yan;YAO Ye(College of Communications Engineering,Army Engineering University of PLA,Nanjing Jiangsu 210007,China)
出处
《通信技术》
2020年第9期2189-2194,共6页
Communications Technology
基金
国家自然科学基金项目(No.61801505)
江苏省自然科学基金(No.BK20170755)。
