Adaptive QoS Flow Profiles for Low-Latency Network Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for modifying data flow transmission profiles in communication networks are cumbersome, delayed, and inefficient in adapting to changing network conditions, leading to suboptimal resource utilization.
Innovation Solution
A collaborative scheme between first and second network elements allows the second element to adaptively select and modify transmission profiles in real-time without additional signaling, leveraging data analytics and historical information for intelligent selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to modify transmission profiles, then network control and management are maintained, but the modification process becomes cumbersome and delayed
Solution Approach 1:
The patent segments the transmission profile modification process into multiple candidate profiles, allowing the network to pre-configure alternative transmission parameters. This enables rapid switching between profiles without cumbersome reconfiguration, reducing modification delay while maintaining network control through structured profile management.
Solution Approach 2:
The patent implements preliminary action by pre-configuring multiple candidate transmission profiles in advance. When network conditions change, the system can immediately activate a pre-prepared profile rather than creating one from scratch, significantly reducing the time required for transmission profile modification while maintaining reliable network control.
2Reliability
If traditional signaling processes are used between network nodes, then coordination is achieved, but the process becomes inefficient in resource utilization
Solution Approach 1:
The patent enables self-service by allowing network elements to autonomously select and activate appropriate transmission profiles from pre-configured candidates based on current network conditions. This reduces the need for extensive signaling coordination between network nodes, improving resource utilization efficiency while maintaining reliable coordination through the structured profile selection framework.
3Adaptability or versatility
If transmission profiles are modified frequently to adapt to changing network conditions, then adaptability is improved, but implementation complexity increases
Solution Approach 1:
The patent implements dynamics by creating a flexible framework where transmission profiles can be dynamically selected from multiple pre-configured candidates based on changing network conditions. This allows the system to adapt to varying conditions without the complexity of dynamically creating and managing transmission parameters, as the adaptive behavior is achieved through selection rather than creation of profiles.
Data Source
AI summary
This disclosure generally relates configuration of transmission profile of data flows in communication networks and particularly relates to configuration of Quality of Service (QoS) profile for QoS flows. In some implementations, a first network element in the communication network may be configured to determine a plurality of transmission profiles for a data flow and transmit these profiles to a second network element. The second network element may adaptively select an active transmission profile from the plurality of transmission profiles for configuring the transmission of the data flow. The second network element may further modify the active transmission profile from the plurality of transmission profiles during an active transmission of the data flow without involving additional decision by the first network element.