Prediction-Based Data Flow Scheduling for Network Congestion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems struggle to effectively manage network congestion, particularly for high-bandwidth, low-latency services like Extended Reality and Media (XRM) services, leading to Quality of Service (QoS) violations and degraded user experience due to inadequate data flow scheduling mechanisms.
Innovation Solution
A data flow processing method where terminals transmit capability indication information to network functions, indicating support for scheduling optimizing or volume controlling based on prediction results, allowing network functions to generate policy rules and perform operations like filtering, usage monitoring, or Quality of Service (QoS) rule adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional scheduling mechanisms are used for data flow, then system complexity is low, but Quality of Service cannot be met during network congestion
Solution Approach 1:
The patent applies preliminary action by having the terminal device send capability indication information to the network function in advance, before network congestion occurs. This allows the network function to pre-configure appropriate scheduling mechanisms and policy rules based on the terminal's capabilities, ensuring QoS compliance when congestion happens without adding complex real-time decision-making overhead.
Solution Approach 2:
The patent introduces an intermediary mechanism where capability indication information acts as a mediator between the terminal device and the network function. This intermediary enables the network function to understand terminal capabilities and apply appropriate scheduling strategies, resolving the contradiction between maintaining simple scheduling mechanisms and ensuring QoS compliance during congestion.
2Productivity
If capability indication information is transmitted to enable prediction-based operations, then transmission efficiency is improved, but communication overhead increases
Solution Approach 1:
The patent applies parameter changes by transmitting capability indication information that describes terminal capabilities in terms of supported operations (scheduling optimizing, volume controlling) and data granularities (data flow, PDU sets, data packets). These parameter-based indications enable efficient prediction-based data flow handling without requiring excessive communication overhead, as the information is structured and targeted.
3Productivity
If prediction-based scheduling optimizing is implemented, then data flow transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data flow handling into distinct levels: capability indication transmission, policy rule generation, and execution of specific operations (scheduling optimizing, volume controlling). This segmentation allows prediction-based scheduling to be implemented in a modular fashion, improving transmission efficiency while managing system complexity through structured decomposition of functions.
4Productivity
If volume controlling based on prediction results is applied, then congestion is alleviated, but loss of information may occur
Solution Approach 1:
The patent applies partial action by implementing volume controlling at configurable granularities (data flow level, PDU set level, or data packet level). This allows selective application of prediction-based volume control only where necessary to alleviate congestion, rather than uniformly applying it to all data, thereby reducing unnecessary data loss while improving network throughput.
Data Source
AI summary
Embodiments of the present invention provide a data flow processing method. The method is performed by a terminal. The method comprises: sending capability indication information to a first network function, wherein the capability indication information is used for indicating that the terminal supports or does not support a second network function to perform a predetermined operation on a data flow of a predetermined service on the basis of a prediction result, and the predetermined operation comprises at least one of the following: optimal scheduling; and flow control. Compared with not using the mode of sending the capability indication information, the present invention can adapt to the transmission status of a data flow, improve the transmission efficiency of the data flow, and mitigate congestion, thereby improving the user experience.