Self-Organizing Telecom Reconfiguration for QoE-Demand Balance
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Solution Overview
Problem
Existing telecommunication systems fail to consider the correlation between user-perceived quality of experience and service requests, leading to inadequate service delivery and resource management.
Innovation Solution
A telecommunication system with a monitoring module to track user experience and service requests, and a self-organizing network module to dynamically adjust configuration parameters based on this correlation, using biological models like Lotka-Volterra equations to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If configuration parameters are based on measurements or estimates of quality of experience and quality of service, then service delivery can be optimized, but the system cannot dynamically adapt to changing user demands and service request patterns
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors quality of experience, quality of service, and service request patterns, then uses this feedback to dynamically adjust configuration parameters. The self-organizing network module continuously receives performance data and user behavior information, processes it through correlation analysis, and automatically reconfigures network parameters to optimize service delivery while adapting to changing demands.
Solution Approach 2:
The system employs a self-organizing network module that autonomously analyzes correlation data between quality metrics and service requests, determines optimal configuration parameters, and performs self-reconfiguration without external intervention. This self-service capability enables the system to dynamically adapt to user demands while reducing operational complexity through automation.
2Measurement precision
If the system monitors quality of experience and service requests to determine correlations, then service delivery can be optimized, but monitoring and analysis complexity increases
Solution Approach 1:
The self-organizing network module performs multiple functions: it monitors quality of experience, tracks service requests, analyzes correlations between metrics, determines optimal configuration parameters, and executes reconfiguration. By consolidating these diverse functions into a single multi-functional module, the system achieves precise quality measurement and comprehensive analysis without proportionally increasing overall system complexity.
3Stability of the object's composition
If configuration parameters are statically set, then system complexity is reduced, but the system cannot maintain equilibrium between service requests and quality of experience
Solution Approach 1:
The patent transitions from static configuration parameters to dynamic parameters that automatically adjust based on real-time monitoring of quality of experience and service request patterns. The self-organizing network module continuously analyzes correlation data and reconfigures parameters to maintain equilibrium between service demands and quality standards, enabling the system to adapt its composition dynamically while preserving stability through feedback-controlled adjustment.
Data Source
AI summary
A telecommunication system monitors, for a plurality of services, a number of service requests from users and quality of service perceived by the users while using the services. A self-organizing network module determines a correlation between at least one configuration parameter, the number of service requests and the quality of service perceived, and, based on the correlation, a target number of service requests, and a target quality of service, determines an updated value for the at least one configuration parameter. Then the self-organizing network module commands the telecommunication system to implement reconfiguration thereof based on the updated value of the at least one configuration parameter.