Use Management Apparatus for Optimal Carrier and Slice Selection
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Solution Overview
Problem
Existing wireless communication systems do not effectively select an optimum wireless business operator (communication carrier) based on communication cost, key performance indicators (KPI), and other factors, leading to suboptimal service provision.
Innovation Solution
A use management apparatus and system that acquire service and usage conditions from users, determine an optimal communication carrier and slice based on routing parameters like communication cost and KPI, and notify the terminal of the selected connection destination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an application service server selects a wireless business operator based on location information and application service content, then the terminal can connect to a wireless business operator, but the selection does not consider communication cost and KPI, resulting in suboptimal service provision
Solution Approach 1:
The patent introduces multiple selection parameters including communication cost and KPI metrics in addition to location and application service content. The system dynamically adjusts selection criteria by evaluating terminals against multiple dimensions (cost, performance, location) to determine optimal wireless business operator matching, thereby improving service provision quality through comprehensive parameter evaluation
Solution Approach 2:
The patent introduces a use management apparatus as an intermediary between the terminal and application service server. This intermediary collects terminal information, evaluates multiple wireless business operators based on comprehensive criteria including cost and KPI, and determines optimal matching. The intermediary handles the complexity of multi-parameter evaluation, shielding the terminal and server from direct complexity while improving selection quality
2Adaptability or versatility
If multiple wireless business operators are available for terminal connection, then service coverage is improved, but selecting the optimum operator considering cost and KPI becomes complex
Solution Approach 1:
The patent segments the operator selection process into distinct functional components: terminal information acquisition, multiple operator evaluation, cost and KPI assessment, and optimal matching determination. The use management apparatus divides the complex selection task into manageable segments, evaluating each wireless business operator independently against multiple criteria before determining the optimal match, thereby maintaining flexibility while reducing overall process complexity
Solution Approach 2:
The patent implements dynamic selection criteria that adapt to different terminal types, application services, and service conditions. The system dynamically adjusts the weight and relevance of various parameters (cost, KPI, location) based on specific service requirements and terminal characteristics, enabling flexible adaptation to diverse scenarios while managing selection complexity through structured evaluation frameworks
3Productivity
If communication cost and KPI are considered in operator selection, then service optimization is improved, but the selection process requires more information and becomes more complex
Solution Approach 1:
The patent performs preliminary information collection and evaluation by the use management apparatus before actual service delivery. The system pre-acquires terminal information, pre-evaluates multiple wireless business operators, and pre-determines optimal matching based on cost and KPI metrics. This preliminary action ensures that when service is actually provided, the optimal operator selection is already determined, improving efficiency without burdening the real-time service process with information acquisition
Solution Approach 2:
The use management apparatus autonomously performs the complex task of collecting terminal information, evaluating multiple operators, and determining optimal matching without requiring direct user intervention. The system self-services by automatically gathering necessary data, assessing cost and KPI parameters, and making intelligent selections, thereby improving service optimization efficiency while minimizing the information acquisition burden on users
Data Source
AI summary
A use management apparatus (11) according to the present disclosure includes: an acquisition means (111) for acquiring, from a user, a type of a service desired by the user using a terminal (12) and a scheduled use time of the service, and acquiring a use condition of an application to be used when receiving the service, and a request condition for a communication carrier when receiving the service; and a connection destination determination means (112) for selecting a predetermined communication carrier satisfying the use condition and the request condition, extracting a predetermined slice being available at the scheduled use time from among the predetermined communication carriers, and determining a connection destination communication carrier and a connection destination slice, based on a routing parameter.