Self-Organizing Network Access Point Priority Assessment
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Solution Overview
Problem
Current self-organizing network (SON) technologies face challenges in dynamically adapting to client priority changes and ensuring optimal Quality of Service (QoS) and Quality of Experience (QoE) across access points, particularly in identifying and addressing non-conformities in real-time.
Innovation Solution
A method and system that periodically assess access points based on client priority values and quality data, allowing for dynamic monitoring and identification of corrective actions, including reassigning priority values using network, billing, and usage data to optimize QoS/QoE scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional SON technologies are used for network optimization, then basic self-configuration and self-healing functions are provided, but the system cannot dynamically adapt to client priority changes or ensure optimal QoS/QoE in real-time
Solution Approach 1:
The system dynamically adjusts access point priorities and corrective actions based on real-time client priority changes and quality metrics. The automated assessment mechanism continuously monitors QoS/QoE parameters and adapts network configuration without manual intervention, enabling the system to respond to changing conditions while maintaining service quality standards.
Solution Approach 2:
The system implements a feedback loop where quality metrics and client priority data are continuously collected, assessed, and used to generate corrective actions. The automated assessment mechanism evaluates the impact of changes and adjusts priorities accordingly, creating a closed-loop control system that improves QoS/QoE reliability through continuous monitoring and adaptation.
2Measurement precision
If manual monitoring and assessment of access points is performed, then detailed quality metrics can be evaluated, but the process is time-consuming and cannot operate in near real-time
Solution Approach 1:
The system performs automated self-assessment of access point quality metrics without requiring manual intervention. The automated assessment mechanism independently collects, analyzes, and evaluates quality data, generating corrective actions autonomously. This self-service approach maintains high measurement precision while eliminating time delays associated with manual monitoring.
Solution Approach 2:
The system changes the operational parameters of access points based on automated assessment results, including priority values and configuration settings. By automatically adjusting these parameters in response to quality metric evaluations, the system achieves both precise measurement and rapid response, converting static manual assessment into dynamic automated parameter optimization.
3Device complexity
If priority values are statically assigned to clients, then network configuration is simple, but the system cannot optimize QoS/QoE according to changing business needs
Solution Approach 1:
The system transitions from static priority assignment to dynamic priority valuation through automated assessment. Priority values are continuously adjusted based on client behavior, quality metrics, and business requirements, allowing the network to adapt to changing conditions while maintaining manageable configuration complexity through automation.
Solution Approach 2:
The automated assessment mechanism provides continuous feedback on priority value effectiveness, enabling the system to refine and adjust priority assignments based on observed performance. This feedback-driven approach allows flexible prioritization that adapts to business needs while maintaining configuration simplicity through automated decision-making algorithms.
Data Source
AI summary
There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.