Communication Device Attractor Selection Control
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Solution Overview
Problem
Existing communication systems using fluctuation equations for attractor selection control require adjustments in standard deviation values for artificial noise based on environmental variations, making it difficult to adapt to a wide range of conditions and increasing operating costs.
Innovation Solution
A communication system that generates fluctuation information using communication environment data to perform attractor selection control, where the fluctuation terms in the fluctuation equation reflect the communication environment data, eliminating the need for independent random noise terms and reducing the need for parameter adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If independent random noise terms with fixed standard deviation are used in fluctuation equations, then the system can perform attractor selection control, but the system requires parameter adjustments for different environmental variation levels, increasing operating cost and reducing adaptability
Solution Approach 1:
The patent transforms the static, fixed standard deviation parameter into a dynamic value that automatically adapts to environmental variations. The standard deviation is calculated based on observed communication quality metrics (packet loss rate, bit error rate) and environmental parameters, allowing the system to dynamically adjust noise amplitude without manual intervention. This resolves the contradiction by making the system both adaptable (responds to environmental changes) and simple (no manual parameter adjustment needed).
Solution Approach 2:
The system performs self-adjustment by automatically calculating the appropriate standard deviation based on observed communication conditions. The fluctuation equation controller monitors communication quality metrics and autonomously determines the noise term parameters, eliminating the need for external parameter tuning. This self-service mechanism resolves the contradiction by providing adaptability through automatic adjustment while maintaining operational simplicity.
2Productivity
If manual adjustment of standard deviation values is performed for different environmental conditions, then communication resource allocation can be optimized, but operating cost increases due to continuous parameter tuning requirements
Solution Approach 1:
The system automatically monitors communication quality metrics (packet loss rate, bit error rate) and environmental parameters, then self-adjusts the standard deviation values without human intervention. This eliminates the operational burden and cost associated with manual parameter tuning while maintaining optimized resource allocation across varying environmental conditions.
Solution Approach 2:
The system implements a feedback mechanism where communication quality metrics and environmental observations are continuously monitored and fed back to the fluctuation equation controller. This feedback loop enables automatic adjustment of noise term parameters, ensuring optimal communication resource allocation adapts to changing conditions without requiring manual intervention, thereby reducing operating costs.
3Adaptability or versatility
If fixed noise amplitude is used in fluctuation equations, then the system configuration is simple, but the system cannot collectively respond to environmental variations across a wide range of conditions
Solution Approach 1:
The patent replaces fixed noise amplitude with dynamic standard deviation values that are automatically calculated based on observed communication conditions and environmental parameters. This dynamic approach enables the system to collectively respond to environmental variations across a wide range of conditions while maintaining configuration simplicity, as no manual setup is required—the system adapts automatically through observation and calculation.
Data Source
AI summary
Problems with communication interface selection control using a fluctuation control equation are that it is difficult for the control to address large environmental variations and that the control requires parameter adjustments according to environments, which incurs operating cost. A communication method according to the present invention includes the step of observing communication environment conditions to generate communication environment data, generating fluctuation information by using the communication environment data as the data occurs, and allocating communication resources by performing attractor selection control on the basis of the fluctuation information. The step of generating fluctuation information comprises the step of using a fluctuation equation to perform fluctuation equation control utilizing the fluctuation information as the fluctuation information occurs. The fluctuation information is not fluctuation terms that are independent random noise terms in the fluctuation equation but include a fluctuation term reflecting the communication environment data.