机载智能超表面和边缘服务器的空中自适应移动边缘计算

Adaptive Airborne Mobile Edge Computing Leveraging Reconfigurable Intelligent Surface and Edge Server

为了实现更高效、更灵活的MEC,提出了空中智能MEC系统,通过机载智能超表面和边缘服务器的无人机实现MEC。在该系统中,无人机既可以充当边缘服务器为地面用户提供计算服务,也可以充当通信中继,将用户的计算任务卸载到远端服务器处理。构建了以最大化系统能效为目标的模型,提出了一种基于DDPG的联合优化算法来解决非凸的能效优化问题。仿真结果表明,所提出的方案与基准方案相比,可以有效提高系统能效,并且具有良好的稳定性和收敛性。

To achieve a more efficient and flexible mobile edge computing(MEC),an airborne intelligent MEC system is proposed,facilitated by unmanned aerial vehicle(UAV)equipped with aerial reconfigurable intelligent surface and edge servers.In this system,the UAV can serve dual roles:acting as an edge server to provide users'computational services and as a communication relay to offload users'computational tasks to remote servers.A model targeting the maximization of system energy efficiency is constructed,and a joint optimization algorithm based on DDPG is presented to address the non-convex energy efficiency optimization challenge.Simulation results indicate that the proposed scheme significantly enhances system energy efficiency compared to benchmark schemes,while demonstrating excellent stability and convergence properties.