基于NOMA-MEC系统的信息年龄最小化研究

Research on the minimizing of information age based on NOMA-MEC system

为提升含多类状态更新的用户信息新鲜度及控制精准度,提出了基于非正交多址接入(NOMA)-远近移动边缘计算(MEC)的状态更新系统。基于信息年龄公平性,建立了以最小化系统平均峰值年龄为目标联合功率分配、卸载管理的优化模型。所建立的优化问题非凸且具有连续随机性,提出了基于离散思想的公平更新卸载策略算法。仿真结果表明,所提出的模型及更新卸载策略算法有效提升了系统的信息新鲜度及年龄公平性。

To improve the freshness and control accuracy of user information with multi-type status updates,a status update system based on non-orthogonal multiple access(NOMA)and near-far mobile edge computing(MEC)servers was proposed.Based on the fairness for age of information,an optimization model for jointly optimization of power allocation and offload management was established to minimize the average peak age of the system.The established optimization problem was non-convex with continuous randomness,and a discrete fair update offloading strategy algorithm was proposed.The simulation results show that the proposed model and update offloading strategy algorithm can effectively improve the information freshness and age fairness of the system.