Communication Delay Derivation via Channel Pattern Detection
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Solution Overview
Problem
In wireless ad-hoc networks with multi-channel/multi-interface environments, calculating communication delay time is challenging due to varying channel combinations and unclear communication paths, especially when the destination is not uniquely defined, leading to increased overhead and difficulty in setting measurement sections.
Innovation Solution
A method where communication terminals detect inter-terminal selected channel repetitive patterns to define calculation target sections and derive communication delay times based on these patterns, reducing measurement overhead by identifying recurring channel patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If communication delay time is calculated for all possible channel combinations between communication terminals, then measurement precision is improved, but device complexity and overhead increase significantly
Solution Approach 1:
The communication path is segmented into multiple sections, with channel selection performed independently for each section rather than evaluating all combinations across the entire path. This divides the complex calculation into manageable segments, reducing overhead while maintaining accuracy.
Solution Approach 2:
Channel patterns are detected and stored in advance through repetitive detection mechanisms. The system performs preliminary channel pattern recognition and caching, so that when delay time calculation is needed, pre-identified patterns can be referenced without exhaustive recalculation.
2Adaptability or versatility
If channel selection is performed per section between communication terminals, then adaptability is improved, but difficulty in detecting and measuring increases
Solution Approach 1:
The system performs periodic detection of channel patterns between communication terminals. By repeatedly detecting channel selections at regular intervals, the system identifies stable patterns and reduces the difficulty of measurement while maintaining adaptability to changing conditions.
Solution Approach 2:
Detected channel patterns are copied and stored for reference. Once a channel pattern is identified through detection, it is replicated and cached, allowing the system to reuse this information without repeating the complex detection process, thereby reducing measurement difficulty.
3Productivity
If communication path is constructed with optimal channel selection, then productivity is improved, but loss of time increases due to extensive measurement requirements
Solution Approach 1:
Channel patterns are detected and cached in advance before actual communication path construction is needed. This preliminary detection and storage of pattern information eliminates the need for time-consuming measurements during path construction, reducing time loss while maintaining productivity.
Solution Approach 2:
The system uses feedback from repetitive channel pattern detections to refine and update its understanding of optimal channels. By continuously monitoring and learning from actual channel selections, the system improves path construction efficiency over time while reducing the time needed for measurements.
Data Source
AI summary
There is provided a communication delay time derivation method for calculating a communication delay time depending on a combination of channels set between communication terminals on a communication path in the MCH/IF environment. When selecting a channel to be used for communication in each section on the communication path per section between communication terminals on the communication path, a calculation target section specification means 82 detects an inter-terminal selected channel repetitive pattern as a pattern of the selected channels cyclically appearing on the communication path, and defines a section corresponding to the inter-terminal selected channel repetitive pattern as a communication delay time calculation target section. A communication delay time derivation means 83 derives a communication delay time in the calculation target section based on the inter-terminal selected channel repetitive pattern.


