A cybernetic and data-driven adaptive decision-making method for offloading

Abstract

The invention discloses an adaptive shunting decision method based on cybernetics and data-driven. By defining a suitable network environment as the state input of an intelligent body module, and then through the training and testing process of a machine learning model, the intelligent body can be adaptive action decision; distribute the corresponding amount of video data to the transmission terminal after deciding the optimal split ratio of the multi-path; at the same time calculate the rate control range based on the dynamic change model of the buffer, and adjust the video bit rate to adapt to the buffer occupancy. changes to ensure the smoothness of video playback; through the control system, the accuracy of the application of the machine learning algorithm decision model in the actual system is further optimized; in the system testing stage, the optimal split ratio is used to transmit the corresponding video data, and calculate the video data The code rate range, the control system selects an appropriate value to match the dynamically changing buffer occupancy length.

Description

technical field [0001] The invention relates to the technical field of streaming media playback, and mainly relates to an adaptive streaming decision method based on control theory and data driving. Background technique [0002] According to a report by Cisco Technologies, wireless video traffic is growing rapidly and will dominate wireless data traffic. These include Internet video, IP VoD, video files exchanged via file sharing, video streaming games and video conferencing, etc. Global IP video traffic is expected to account for 82% of traffic by 2022. The huge growth of video traffic is mainly due to the rapid development of wireless communication technology (such as 4G, 5G technology), the popularization of mobile devices (such as smartphones, tablet computers, etc.) and the growth of Internet business demand (such as online video conferencing). Therefore, it is of great significance to provide users with smooth video playback and to improve the quality of user experie...

AI Technical Summary

Problems solved by technology

[0009] Purpose of the invention: In order to solve the fluency of video playback under heterogeneous wireless networks and improve user QoE, the present invention provides an adaptive distribution decision method based on cybernetics and data-driven, based on deep reinforcement learning algorithm as the theoretical basis, And use control theory to optimize, solve the problem of video distribution decision-making in heterogeneous wireless networks, realize the smoothness of multi-terminal cooperative video transmission, and ensure high user QoE

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