Context-Oriented Transport Layer for QoS Management
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Solution Overview
Problem
Existing communication network transport layers lack the precision and adaptability needed to effectively manage quality of service (QoS) for diverse applications, failing to prioritize traffic flows and provide guaranteed on-time delivery.
Innovation Solution
The introduction of a Context-Oriented Transport (COT) layer between the application and transport layers, which uses machine learning to analyze application attributes, classify data flows into QoS classes, and prioritize them based on predefined QoS requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing transport layer protocols are used, then network compatibility is maintained, but QoS management precision and adaptability deteriorate
Solution Approach 1:
A Context-Oriented Transport (COT) layer is introduced as an intermediary between the application layer and the transport layer. This COT layer acts as a mediator that analyzes application attributes using machine learning, classifies data flows into QoS classes, and prioritizes traffic flows. It translates application-specific QoS requirements into transport layer parameters, thereby achieving precise QoS management without compromising network compatibility.
2Productivity
If uniform congestion control is applied to all applications, then protocol simplicity is maintained, but network utilization and throughput deteriorate
Solution Approach 1:
The patent implements local quality by applying different congestion control strategies to different application types based on their specific QoS requirements. The COT layer classifies data flows into different QoS classes (e.g., delay-sensitive, delay-tolerant, high-data-rate, constant bit rate) and applies tailored congestion control mechanisms to each class, thereby optimizing network utilization for each application type rather than using a one-size-fits-all approach.
Solution Approach 2:
The system dynamically adapts congestion control parameters based on real-time network conditions and application requirements. The COT layer continuously monitors network state and adjusts transport layer parameters dynamically for different data flows, enabling the system to respond to changing conditions while maintaining appropriate QoS levels for each application type.
3Reliability
If best-effort delivery is used, then protocol simplicity is maintained, but on-time delivery guarantee deteriorates
Solution Approach 1:
The COT layer performs preliminary classification of data flows into different QoS classes before transmission. By analyzing application attributes and predicting QoS requirements in advance, the system prioritizes time-sensitive traffic and applies appropriate forwarding mechanisms, ensuring on-time delivery for delay-sensitive applications without requiring complex real-time adjustments during transmission.
4Adaptability or versatility
If transport layer manages all flows uniformly, then control simplicity is maintained, but flow prioritization capability deteriorates
Solution Approach 1:
The patent segments the transport layer functionality by introducing a separate COT layer that handles flow classification, QoS analysis, and prioritization decisions. This segmentation allows the traditional transport layer to maintain its simplicity while the COT layer provides advanced flow prioritization capabilities through machine learning-based attribute analysis and QoS class classification.
Data Source
AI summary
A method and an apparatus are provided for managing quality of service (QoS) in a communication network. A plurality of data flows related to at least one application associated with a user equipment (UE) is received. At least one data flow that requires QoS management related to the at least one application is identified from the plurality of data flows based on an analysis of at least one of a plurality of attributes related to the at least one application. The at least one data flow is classified into a QoS class associated with the at least one application. The at least one data flow is prioritized based on the QoS class.