Dynamic QoS Policy Server for Adaptive Network Traffic Management
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Solution Overview
Problem
Standard QoS policies in telecommunications networks are static, failing to adapt to changing user requirements and network conditions, leading to suboptimal performance for applications like online gaming and video streaming.
Innovation Solution
A method and system where a policy server in the communications network dynamically determines and applies Quality of Service (QoS) based on provisioning parameters and current network loading conditions, allowing for real-time adjustments to traffic management in response to user requests for modified QoS settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If QoS policies are configured statically, then network management is simple and stable, but the system cannot adapt to changing user requirements and network conditions
Solution Approach 1:
The patent transforms static QoS policies into dynamic policies that automatically adjust based on real-time network conditions and user requirements. The system monitors network state continuously and modifies QoS parameters dynamically, enabling adaptation without manual reconfiguration while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors network conditions, user behavior, and application performance, then uses this information to automatically adjust QoS policies. This closed-loop control enables the system to adapt to changing requirements while keeping policy management complexity manageable through rule-based or AI-driven automated responses.
2Reliability
If QoS policies are made dynamic to adapt to changing conditions, then user experience improves, but system complexity increases
Solution Approach 1:
The patent enables the QoS system to self-adjust and self-manage by automatically monitoring network conditions and applying appropriate policies without human intervention. The policy server autonomously makes decisions about traffic prioritization, bandwidth allocation, and service quality adjustments, improving reliability while containing complexity through automated self-service mechanisms.
Solution Approach 2:
The patent dynamically changes QoS parameters such as bandwidth allocation, priority levels, and traffic routing based on real-time network conditions and user requirements. By adjusting these parameters automatically rather than changing the entire policy structure, the system improves service reliability while minimizing the complexity increase associated with dynamic policy management.
3Productivity
If standard static QoS policies are used, then implementation is straightforward, but application performance varies under different network conditions
Solution Approach 1:
The patent introduces a policy server as an intermediary between network infrastructure and user applications, which automatically manages QoS adjustments based on monitored conditions. This intermediary handles the complexity of dynamic policy management, allowing straightforward implementation from the user perspective while achieving improved application performance through automated QoS optimization.
Data Source
AI summary
A method includes receiving an indication relating to an invocation of an application by a mobile device; determining, in response to the indication, a quality of service based on a provisioning parameter; and instructing a network element of a communications network to manage traffic relating to the application based on the quality of service and a loading condition in the communications network.