Communication Service Provider Selection by Application Requirement Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for selecting a communication service provider in a communication network are arbitrary and do not consider the specific communication requirements of user equipment (UE) applications, leading to inefficient service selection and increased costs.
Innovation Solution
A method where a processor analyzes the communication requirements of UE applications and selects a service provider based on matching criteria, including service levels, cost, and user-defined rules, using real-time testing and historical data to rank available carriers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If arbitrary methods are used for selecting a communication service provider, then the selection process is simple, but the service selection efficiency is poor and costs increase
Solution Approach 1:
The patent applies parameter changes by analyzing communication requirements (bandwidth, latency, reliability parameters) of applications and matching them with service provider capability parameters. The system dynamically adjusts selection criteria based on application-specific parameters rather than using fixed arbitrary selection methods, thereby improving service selection efficiency while maintaining manageable complexity through structured parameter comparison.
2Productivity
If communication requirements are analyzed and matching criteria are applied, then service selection efficiency improves, but the complexity of the selection process increases
Solution Approach 1:
The patent segments the service provider selection process into distinct functional modules: communication requirement analysis module, service provider capability assessment module, matching criterion application module, and selection module. Each module handles a specific aspect of the selection process, making the overall complex process more manageable and maintainable while improving efficiency through specialized processing at each stage.
Solution Approach 2:
The system implements dynamic selection criteria that adapt based on real-time communication requirements and user-defined preferences. The matching criteria are not static but dynamically adjusted according to application needs, network conditions, and user priorities, allowing the system to handle complexity through flexibility rather than rigid structures.
3Loss of energy
If service providers are selected based on matching communication requirements and user criteria, then cost reduction is achieved, but the analysis and matching process becomes more complex
Solution Approach 1:
The patent implements preliminary action by pre-assessing and storing service provider capabilities and communication requirements before actual service selection occurs. The system maintains profiles of service provider characteristics and application requirements, so when selection is needed, the matching process operates on pre-processed information rather than analyzing everything from scratch, reducing both complexity and cost.
Solution Approach 2:
The system replaces manual or arbitrary service provider selection mechanisms with an automated computational matching system. The processor-based automated analysis and matching process substitutes for simpler but less efficient manual selection methods, achieving cost reduction through optimized resource allocation while managing complexity through algorithmic approaches.
Data Source
AI summary
Embodiments for selecting a communication service provider by a processor. Communication requirements for one or more applications of a user equipment (UE) may be analyzed to convey information over a communication network. A communication service provider may be selected according to a level of matching both the communication requirements and one or more user selection criteria.