基于网络切片的高频谱效率无线资源管理

In order to meet the quality of service requirements of different types of users in different application scenarios and improve spectrum efficiency, the wireless resource allocation model is constructed based on network slicing. In order to obtain the optimal resource allocation scheme, the quality of service requirements of users are transformed into the wireless resources requirements, and the wireless resource optimization problem is formulated with the goal of maximizing the total system rate. Since the optimization is a mixed integer nonlinear optimization, the complexity of optimal solution is considerably high. A solution based on Lagrange duality is proposed and the solving algorithm is given. Finally, compared with the proportional fairness algorithm and the maximum system capacity algorithm, the simulation results show that the proposed algorithm improves the system capacity while sacrificing partial fairness, which verifies the effectiveness of the proposed algorithm.