Personalized Quality Metric Server for Dynamic Network Provisioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile virtual network operators (MVNOs) face challenges in providing personalized wireless communication service quality to users, as existing systems lack the ability to dynamically adjust network provisioning based on individual user preferences and performance metrics across different wireless communication service provider networks.
Innovation Solution
A computer system and method that analyze performance data from multiple wireless networks, allowing users to define personal quality criteria, calculate personalized quality metrics, and dynamically provision user equipment to the network offering the best quality based on their defined preferences, enabling informed subscription choices and optimal network selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If MVNOs lease wireless network infrastructure from multiple service providers to provide network-of-networks service, then service versatility and quality options increase, but system complexity and provisioning difficulty increase
Solution Approach 1:
The patent introduces a quality metric server as an intermediary component that mediates between multiple wireless network infrastructures and user equipment. This server collects performance data from various networks, calculates quality metrics based on user-defined criteria, and provides recommendations for optimal network selection. By centralizing the complex analysis and decision-making functions in this intermediary layer, the system manages the complexity of multi-network provisioning while maintaining high service versatility.
Solution Approach 2:
The system implements feedback mechanisms where performance data is continuously collected from user equipment across different wireless networks, quality metrics are calculated based on this feedback, and provisioning decisions are adjusted accordingly. The quality metric server receives performance measurements, compares them against user-defined criteria, and provides feedback for dynamic network selection and provisioning adjustments, enabling adaptive optimization across the complex multi-network infrastructure.
2Ease of operation
If the system collects and analyzes performance data from multiple wireless networks to calculate quality metrics, then user experience personalization improves, but data processing requirements and system resources increase
Solution Approach 1:
The patent segments the data processing workload by distributing data collection functions to user equipment (client applications on mobile devices) while centralizing the quality metric calculation and analysis functions in the quality metric server. This segmentation allows lightweight data collection at the edge devices without requiring heavy processing resources there, while the server performs the computationally intensive metric calculations in a centralized location with adequate resources.
Solution Approach 2:
The system implements partial action by collecting and processing only the specific performance data parameters that are relevant to user-defined quality criteria, rather than analyzing all possible network parameters. The quality metric server focuses on calculating only the metrics that users have indicated are important to them, avoiding unnecessary data processing and resource consumption while still achieving personalized user experience optimization.
3Measurement precision
If users define personal quality criteria with multiple weighted factors, then quality metric precision and relevance to user needs improve, but complexity of metric definition and calculation increases
Solution Approach 1:
The patent enables users to self-define their personal quality criteria through an intuitive interface where they can specify which performance parameters are important to them and assign weights to each factor according to their preferences. The system provides templates and guidance to help users create personalized quality metrics without requiring technical expertise. This self-service approach allows users to precisely define their quality requirements while the system handles the complex calculation logic automatically.
Solution Approach 2:
The system allows dynamic adjustment of quality metric parameters and weights based on user feedback and changing requirements. Users can modify their personal quality criteria at any time, changing the parameters and weightings without redefining the entire metric structure. The quality metric server adapts its calculations to these parameter changes, maintaining precision while simplifying the user interaction through incremental modifications rather than complete redefinitions.
Data Source
AI summary
A user equipment (UE). The UE comprises a client application that presents prompts to guide a user through inputting a personal quality metric definition, transmits personal quality metric definition inputs via the radio transceiver, creates data based on wireless communication service experienced by the UE, transmits the performance data to one of a server application or a data store, receives a personal quality metric from the server application, where the personal quality metric represents the quality of wireless communication service received by the UE based on the quality metric definition inputs and performance data transmitted by the UE to the server application or the data store and based on the performance data transmitted by other UEs to one of the server application or the data store, and presents the personal quality metric on a display.