移动边缘计算使能的星地网络D2D辅助任务卸载

D2D-Assisted Task Offloading in Mobile Edge Computing-Enabled Satellite-Terrestrial Networks

针对地面设备计算资源未得到有效利用的问题,研究了移动边缘计算使能的星地网络中设备到设备(D2D)辅助任务卸载。建模了最大化所有用户设备、服务设备和低轨道地球卫星的效用的问题,并将其分解为任务卸载比例优化子问题和任务卸载决策子问题。通过理论推导分别得到了D2D卸载和移动边缘计算卸载的最优任务卸载比例的解析解,并设计了一种基于匹配博弈的任务卸载决策算法,提出了一种任务卸载比例和任务卸载决策联合优化方案。仿真结果证明,与参考方案相比,所提方案具有更好的性能。

To solve the problem that the computing resources of ground equipment are not utilized effectively,the device-to-device(D2D)assisted task offloading in mobile edge computing-enabled satellite-terrestrial networks is studied.The utility maximization problem for all user equipment,service equipment,and the low earth orbit satellite is modeled and decomposed into two sub-problems,which are task offloading ratio optimization sub-problem and task offloading decision sub-problem.The analytical solution of the optimal task offloading ratio of D2D offloading problem and mobile edge computing offloading problem is obtained by the theoretical derivation,respectively.Besides,a matching game-based task offloading decision algorithm is designed and a joint optimization scheme of task offloading ratio and task offloading decision is proposed.The simulation results demonstrate that the proposed scheme has better performance than the reference schemes.