基于用户QoS的网络资源分配策略研究

针对5G网络在网络资源分配存在的问题,从用户业务QoS等级角度提出基于贝叶斯模型的网络资源优化分配策略模型。在对用户业务QoS等级划分的基础上采用优先节点自主控制策略进行网络资源分配,通过构建贝叶斯模型评价网络状态并进行动态学习推理,指导网络优先节点的控制决策,实现优先节点对最佳信道的优先选择。实验表明,与基于信道容量的信道资源分配策略相比,本文的策略在网络总体容量和网络公平性上具有更好的表现,能够更好满足异构网络的实际需求。

Research on Network Resource Allocation Strategy Based on User QoS

Aiming at the network resource allocation problems in 5G network,this paper proposes a network resource optimization strategy model based on the Bayesian model from the perspective of user service QoS levels.Based on the classification of user service QoS levels,the autonomous control strategy is used for the priority nodes to allocate network resources.Bayesian model is constructed to evaluate the network state and perform dynamic learning reasoning to guide the control decision of network priority nodes and realize their priority selection of the best channel.Experiments show that,compared with the channel capacity-based channel resource allocation strategy,the proposed strategy has better performance in the overall network capacity and network fairness,and can better meet the actual needs of heterogeneous networks.