Network Optimization Scoring via Weighted Criteria
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Solution Overview
Problem
Network operators and NEMs face challenges in balancing network quality and investment levels, particularly in wireless networks, where existing methods lack effective tools to assess optimization levels and understand the impact of capacity investments on user experience.
Innovation Solution
A graphical user interface is developed that assigns weight factors to network utilization and quality scoring criteria, enabling the calculation and display of network utilization and optimization scores, allowing operators to assess and optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If capacity is over provisioned to ensure quality, then network reliability is improved, but operating cost increases
Solution Approach 1:
The patent applies parameter changes by transitioning from traditional quality metrics (PSQM, PESQ, PAMS) to new parameters including network utilization score and optimization score. These parameter changes enable more precise measurement and optimization of network performance, allowing operators to achieve quality guarantees without excessive capacity provisioning, thus reducing operating costs while maintaining reliability.
Solution Approach 2:
The patent replaces traditional active testing mechanisms with passive testing frameworks. Instead of generating active traffic to measure quality, the system uses passive observation and analysis of network data, enabling more efficient quality assessment without the overhead of active testing infrastructure and associated costs.
2Reliability
If quality is guaranteed by traffic contracts, then service quality is improved, but investment cost increases
Solution Approach 1:
The patent implements partial action by providing quality guarantees selectively through traffic contracts only where necessary, rather than universally across all network services. The system identifies specific services and network segments that require quality guarantees, applying them partially to reduce overall investment costs while maintaining service quality where it matters most.
Solution Approach 2:
The patent applies local quality by implementing quality guarantees at specific localities within the network rather than uniformly across the entire network. The system identifies particular network segments, services, or customer groups that require enhanced quality assurance, applying traffic contracts and optimization measures locally to reduce overall investment while maintaining quality where needed.
3Measurement precision
If network utilization scoring is implemented, then quality assessment capability is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing quality assessment into distinct components: network utilization scoring and optimization scoring. Each component addresses specific aspects of network performance independently, making the overall system more manageable and less complex while maintaining comprehensive quality assessment capability.
Solution Approach 2:
The patent implements universality by designing the scoring system to serve multiple functions simultaneously. The network utilization score and optimization score can be applied across different network types (wired, wireless, core, access), service types (voice, data, video), and operational contexts, reducing the need for separate assessment systems and thereby reducing overall complexity.
Data Source
AI summary
A user operable component is displayed on a display device and receives user input to assign weight factors for optimization criteria for a communications event from a structured collection of data. Another user operable component is displayed on the display device and receives user input to assign weight factors for optimization criteria for the communication event from another structured collection of data. A network utilization/quality score is obtained from said network utilization/quality criteria and the assigned weight factors, and is displayed on the display device. An optimization score is obtained from said optimization criteria and the assigned weight factors and is also displayed on the display device.