2results about How to "Improve QoE" patented technology

This disclosure provides a method and related equipment for providing network auxiliary information. The method includes: sending a first request message, the first request message carrying a target protocol data unit session identifier and unstructured request data, the unstructured request data including a user terminal analysis request prediction element, the user terminal analysis request prediction element including a target analysis identifier, a target user terminal identifier, and a target service flow identifier; receiving a first notification message, the first notification message carrying the target protocol data unit session identifier and unstructured response data, the unstructured response data including a user terminal analysis response element, the user terminal analysis response element including network auxiliary information and a target analysis identifier, the network auxiliary information being generated by the target network data analysis function in response to the user terminal analysis request prediction element. The solution provided in this disclosure can be applied to data transmission in cloud technology.

A burst traffic allocation method based on deep learning and cooperative game theory, belonging to the field of communication network traffic engineering technology, solves the problems of resource optimization and user experience fairness under burst traffic in dynamic networks. The core of this invention lies in deeply coupling network-side traffic engineering (QoS optimization) with user-side resource allocation (QoE optimization) to form a closed-loop collaborative optimization framework. In burst traffic scenarios, this method first allocates traffic to alternative paths according to the path allocation ratio calculated by the model, reducing maximum link utilization, avoiding network congestion, and enhancing the network's robustness to burst traffic. Then, the available bandwidth on the allocated paths is used as a resource and distributed among multiple users, aiming to maximize the overall experience of all users while ensuring fairness among users, achieving collaborative optimization of service quality and user experience quality in a dynamic network environment.