Network Slice Selection Through QoE-to-Numeric Conversion
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Solution Overview
Problem
Existing network slice selection techniques require users to have detailed knowledge about communication quality, making it difficult for them to select a suitable slice without specialized understanding.
Innovation Solution
An information processing method and device that converts user input related to communication quality into numerical value information, allowing for the selection of a network slice based on this converted data without requiring users to input numerical values directly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a slice is selected for each target service based on service selection command, then communication quality can be differentiated for each service, but the user is required to have detailed knowledge about communication to express quality of experience (QoE)
Solution Approach 1:
The system introduces an intermediary conversion process that translates user-friendly quality descriptors (e.g., 'high quality', 'standard quality') into technical numerical parameters required for network slice selection. This mediator layer allows users to express QoE demands without needing detailed communication knowledge, while still achieving differentiated communication quality for each service.
Solution Approach 2:
The system changes the parameter representation from complex technical communication parameters to simplified quality level parameters (e.g., high/standard/low quality). This parameter transformation enables users to select network slices based on intuitive quality levels rather than requiring expertise in communication technical parameters.
2Measurement precision
If users directly input numerical values for communication quality parameters, then precise network slice selection can be achieved, but users need extensive knowledge about communication parameters
Solution Approach 1:
The conversion unit acts as an intermediary that receives imprecise user inputs (quality level descriptors) and transforms them into precise numerical parameters for network slice selection. This resolves the contradiction by maintaining precision in the final parameter while simplifying the user input interface.
Solution Approach 2:
The system creates a simplified copy or representation of the complex communication quality parameters in terms of quality levels (high/standard/low). This copied representation is what users interact with, while the original precise technical parameters are handled automatically by the conversion process.
Data Source
AI summary
The information processing method includes: acquiring, by an information processing device, numerical value information pertaining to an attribute of a network slice, the numerical value information being obtained by converting input information which has been inputted through a user interface; and selecting, by the information processing device, a network slice as a candidate to which a terminal device is to be connected.