Hierarchical Decision-Making Scheme for Dynamic Assurance of Mobile Video Fluency

The number of video users has been increasing year by year. Traditional resource scheduling mechanisms mainly rely on the core network, which cannot meet the requirements of real-time, high fluency, and high definition of mobile video services. In order to dynamically guarantee the fluency of mobile video, this paper proposes a hierarchical decision-making scheme to ensure the fluency of high-definition mobile video services in real time. By using the Principal Component Analysis (PCA) algorithm, the base station parameters are correlated with the network performance parameters that affect the occurrence of mobile video delay. The difference in the change of the base station parameters between the current and previous time nodes is calculated and normalized. Product of base station parameter variation and contribution is used as the influence degree. Based on the influence degree, the main influencing parameters causing the current video delay are determined. The main influencing parameter corresponding to the maximum influence degree is the most important influencing parameter. According to the main influencing parameter, the Quality of Service (QoS) parameters to be adjusted and the adjustment range are determined. The experimental results show that the hierarchical decision-making scheme for dynamic guaranteeing of mobile video fluency is effective and improve the user experience quality of mobile video.