QoE-Based CATV Network Capacity Planning System
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Solution Overview
Problem
Current traffic engineering methods are inadequate in accurately determining the required bandwidth capacity for maintaining desired Quality of Experience (QoE) for subscribers, as they fail to account for varying bandwidth usage patterns, different types of applications, and concurrent transmission levels, and lack flexibility in projecting future changes in bandwidth usage.
Innovation Solution
The system calculates QoE levels and required bandwidth capacity by grouping subscribers based on their characteristics, using statistical distributions that reflect actual traffic flows, and allows for flexible QoE specifications, enabling accurate modeling of concurrency and application mixes, and projecting changes in bandwidth usage over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional traffic engineering methods are used to determine bandwidth capacity, then the system is simple to operate, but the measurement precision of QoE assessment is insufficient
Solution Approach 1:
The patent segments subscribers into different groups based on their bandwidth usage patterns, application preferences, and concurrency behaviors. This segmentation allows for more precise QoE assessment by tailoring measurements to specific subscriber characteristics rather than using a one-size-fits-all approach, thereby improving measurement precision without requiring complete system redesign.
Solution Approach 2:
The patent introduces statistical distributions as an intermediary layer between raw traffic data and QoE assessment. These distributions model bandwidth usage patterns, application mixes, and concurrency levels, enabling accurate QoE measurement without directly complex interactions with each subscriber's detailed behavior, thus improving precision while managing complexity.
2Measurement precision
If detailed subscriber behavior modeling is implemented, then the QoE assessment accuracy improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent enables the system to automatically model subscriber behaviors using statistical distributions without requiring manual intervention or complex detection mechanisms. The statistical models self-adjust to capture bandwidth usage patterns, application mixes, and concurrency levels, improving assessment accuracy while reducing the operational difficulty of detecting and measuring subscriber behaviors.
3Adaptability or versatility
If the system accounts for varying bandwidth usage patterns and application mixes, then the adaptability to different network conditions improves, but the device complexity increases
Solution Approach 1:
The patent uses statistical distributions with adjustable parameters to model varying bandwidth usage patterns, application mixes, and concurrency levels. By changing distribution parameters rather than restructuring the entire system, the patent achieves high adaptability to different network conditions while keeping the underlying system architecture relatively simple and manageable.
Data Source
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AI summary
Systems and methods for analyzing network parameters in a data communications network so as to maintain a desired Quality of Experience (QoE) of at least one subscriber.