Network Recommender System for Traffic Coordination
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Solution Overview
Problem
Current communication systems face challenges in efficiently managing network capacity and traffic coordination between different wireless communication networks, such as cellular and wireless local area networks, especially during peak demands or unusual events, leading to potential network performance issues and revenue loss due to traffic overflow.
Innovation Solution
A recommender system and method that analyzes network information to determine if changes are required, identifies the cause of performance issues, and provides options for adjustments, including hardware, software, or configuration changes, while distinguishing between usual conditions and trigger events to avoid unnecessary changes, using predictive analytics and real-time data from various sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network capacity is increased to handle peak demands, then network performance is improved, but device complexity and cost increase
Solution Approach 1:
The system performs preliminary actions by proactively identifying network performance issues before they manifest as actual problems. The recommender system analyzes network data, detects potential issues, and provides recommendations in advance, allowing operators to take preventive measures rather than reacting to failures after they occur.
Solution Approach 2:
The system implements continuous feedback loops by monitoring network performance data, analyzing it through the recommender system, and providing actionable recommendations. This feedback mechanism enables dynamic adjustment of network configuration to maintain optimal performance without requiring excessive capacity provisioning.
2Productivity
If automatic network changes are implemented to manage traffic, then productivity is improved, but reliability decreases due to potential unnecessary changes
Solution Approach 1:
The system enables self-service by automatically monitoring network performance, detecting issues, and generating recommendations without requiring constant human intervention. The recommender system autonomously analyzes data and provides actionable insights, reducing the burden on operators while maintaining reliable change management through informed decision-making.
Solution Approach 2:
The system replaces manual mechanical analysis with automated electronic data processing and analytics. The recommender system uses computational algorithms to analyze network data, identify patterns, and generate recommendations, substituting human manual processes with automated systems that improve both productivity and reliability.
3Measurement precision
If network monitoring is enhanced to detect performance issues, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system extracts and focuses on specific critical performance indicators and key metrics from the vast amount of network data. The recommender system identifies and monitors only the most relevant parameters for detecting performance issues, rather than attempting to analyze all possible data points, thereby improving measurement precision without proportionally increasing complexity.
Solution Approach 2:
The recommender system serves multiple functions simultaneously: it monitors network performance, detects potential issues, analyzes root causes, and generates recommendations. This multi-functional approach consolidates multiple monitoring and analysis tasks into a single system, improving measurement precision while avoiding the complexity of separate specialized systems.
Data Source
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AI summary
There is provided a method, said method comprising receiving network information, using said network information to determine whether a change to a network is required, and if so, using said network information to determine at least one cause of a change to the network being required and providing, in dependence of the at least one cause, at least one option for at least one change to said network.