MNMPC:a method of improving user streaming experience through mixed prediction
As to the significant randomness of countermeasure changes above network throughput in actual networks,the analytical model predictive control(MPC)method was introduced.By summarizing the regularity of historical data and supplementing the deep prediction module with historical data estimation methods,a multi-layer perception deep prediction module was proposed.Compared with state of the art(SOTA)models,the model reported herein can improve the prediction accuracy by 11% .The pro-posed model was experimentally verified in a real network.The results show that the proposed method can effectively improve the video quality and reduce the probability of rebuffering,thereby improving user experience.
adaptive bitrate rateneural networkmodel predictive controlquality of experience(QoE)
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