Dynamic QoS Management for Network Bearers
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Solution Overview
Problem
Conventional EPS systems lack clear methods for dynamically managing Quality of Service (QoS) based on individual bearer load and global network congestion, failing to adjust QoS levels effectively when network conditions change.
Innovation Solution
A module and method that predict global and individual bearer throughputs, allowing for dynamic adjustment of QoS levels by comparing these throughputs with threshold values to determine if the current QoS level is adequate, and adjusting it accordingly to prevent congestion or enhance throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If QoS levels are statically assigned to bearers, then network management is simple, but the system cannot adapt to dynamic network conditions and individual bearer loads
Solution Approach 1:
The patent implements dynamic QoS management by continuously monitoring global network throughput and individual bearer throughput, and adjusting QoS levels in real-time based on predicted congestion scenarios. The system transitions from static QoS assignment to dynamic adjustment, where QoS parameters are modified adaptively according to current network conditions and bearer-specific load patterns.
Solution Approach 2:
The system performs preliminary congestion prediction by analyzing current throughput trends and forecasting future network states before actual congestion occurs. This allows proactive QoS adjustment to prevent congestion rather than reacting after it happens, improving network performance while maintaining manageable complexity through predictive rather than purely reactive control.
2Reliability
If QoS levels are increased for all bearers during network congestion, then individual bearer performance improves, but overall network congestion worsens
Solution Approach 1:
The patent applies differentiated QoS management where each bearer is evaluated individually based on its specific load characteristics and service requirements. Instead of uniform QoS adjustment across all bearers, the system selectively increases or maintains QoS levels for specific bearers that need them, while allowing other bearers to experience reduced QoS, thereby balancing individual service reliability with overall network throughput.
Solution Approach 2:
The system dynamically changes QoS parameters (such as bandwidth allocation, priority levels) based on predicted congestion scenarios and individual bearer throughput analysis. By adjusting these parameters selectively rather than uniformly, the system maintains service reliability for critical bearers while preventing overall network congestion from worsening.
3Stability of the object's composition
If QoS levels are decreased for all bearers to prevent congestion, then network stability improves, but individual bearer throughput decreases
Solution Approach 1:
The system applies selective QoS reduction where only specific bearers experience decreased QoS levels while others maintain their service quality. This localized approach preserves network stability by preventing overall congestion while minimizing the impact on individual bearer throughput through targeted rather than blanket QoS adjustments.
4Productivity
If the system monitors and adjusts QoS for each individual bearer, then QoS optimization improves, but system complexity increases
Solution Approach 1:
The patent segments the QoS management function into distinct components: global network throughput monitoring, individual bearer throughput monitoring, congestion prediction analysis, and selective QoS adjustment. This segmentation allows the system to handle complex per-bearer optimization through modular processing, making the overall system more manageable despite the increased sophistication required for individualized QoS control.
Data Source
AI summary
Methods and devices used for a dynamic QoS management taking into consideration a global throughput and individual bearer throughputs are provided. The global throughput and individual bearer throughputs may be predicted upon receiving each packet from a public domain network. Individually, for each bearer is determined if a current QoS service is adequate by comparing the global throughput with threshold values associated to the bearer and on evaluating whether the bearer is overloaded. If the current QoS level associated with the bearer is not adequate, the QoS level associated with the bearer is set to another QoS level.