SON Components Dynamic QoS Factor Adjustment
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Solution Overview
Problem
Telecommunication networks face congestion, delay, and resource allocation inefficiencies due to static quality-of-service (QoS) class weighting schemes, which fail to dynamically adjust resource allocation based on changing network demands and conditions.
Innovation Solution
Implementing Self-Organizing Network (SON) components that determine and dynamically update QoS factors for QoS classes based on performance metrics, network configuration, and fault information, allowing for real-time optimization of resource allocation across different network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static QoS class weighting schemes are used, then network resource allocation is simplified and easier to manage, but network resource utilization efficiency deteriorates during varying demand conditions
Solution Approach 1:
The patent implements dynamic QoS factor adjustment by having SON components continuously monitor network conditions (traffic load, congestion levels, delay) and automatically update QoS class weights in real-time. This transforms the static weighting scheme into a dynamic one that adapts to changing network demands, resolving the contradiction between management simplicity and resource utilization efficiency.
Solution Approach 2:
The system enables self-service through automated SON components that independently monitor network performance metrics and adjust QoS factors without manual intervention. The network system serves itself by automatically optimizing resource allocation based on real-time conditions, maintaining simplicity while improving efficiency.
2Device complexity
If static QoS weights are assigned to all QoS classes, then configuration and management is simplified, but network performance deteriorates when network conditions change
Solution Approach 1:
The patent makes QoS weights dynamic by implementing continuous monitoring of network conditions (congestion, delay, traffic load) and automatic adjustment of QoS class weights by SON components. This allows the system to maintain simple configuration management while achieving reliable performance adaptation to changing network conditions.
Solution Approach 2:
The system implements feedback mechanisms where SON components continuously monitor network performance metrics and use this information to adjust QoS factors. This closed-loop feedback ensures the system maintains reliable performance under varying conditions while keeping configuration complexity low through automated decision-making.
3Reliability
If lower priority QoS classes receive worse resource allocation, then higher priority traffic (e.g., voice calls) is protected, but overall network throughput deteriorates during low demand periods
Solution Approach 1:
The patent implements dynamic QoS factor adjustment where SON components monitor overall network conditions and adjust the weighting of different QoS classes in real-time. During low demand periods, lower priority classes receive improved resource allocation to maximize throughput, while during high demand periods, priority classes receive enhanced protection. This dynamic adjustment resolves the contradiction between priority guarantee and overall throughput.
Data Source
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AI summary
Described herein are one or more self-organizing network (SON) components configured to determine QoS factors associated with QoS classes for a node of a telecommunication network based at least in part on performance metrics, network configuration, or network fault information. The one or more SON components may receive the performance metrics, network configuration, or network fault information from the node, and the performance metrics, network configuration, or network fault information may be associated with communication of traffic of the QoS classes by the node. Upon determining the QoS factors, the one or more SON components may transmit indications of the QoS factors to the node.