Communication Parameter Adjustment for Fast Motion
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Solution Overview
Problem
Existing mobile communication methods are inadequate for accurately estimating and adapting to channel quality in scenarios with fast and unpredictable motion patterns, such as vehicles, due to assumptions of static environments and symmetrical channels, leading to suboptimal data rates and reliability.
Innovation Solution
A method and apparatus that determine the current and future positions of mobile subscribers using environmental models, incorporating motion vectors and car-2-car communication to estimate channel quality and adjust parameters like transmission strength, modulation alphabet, and antenna settings, accounting for multipath propagations and vehicle interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing mobile communication methods assume static environments and symmetrical channels, then device complexity is reduced and ease of operation is improved, but measurement precision of channel quality estimation deteriorates in fast motion patterns
Solution Approach 1:
The patent applies preliminary action by determining the future position of the mobile subscriber in advance (at time t0 for future time t1) using positioning information and motion vectors. This allows the system to proactively adapt communication parameters before the actual channel conditions change, improving estimation accuracy without requiring complex real-time tracking during fast motion patterns.
Solution Approach 2:
The patent implements dynamics by transitioning from static environmental assumptions to dynamic position-based modeling. The system continuously updates the future position based on current position, speed, and motion vectors, allowing the channel quality estimation to adapt dynamically to fast motion patterns while maintaining manageable system complexity through structured update cycles.
2Measurement precision
If channel estimation is performed frequently to improve accuracy in fast motion patterns, then measurement precision improves, but loss of time for parameter adaptation increases
Solution Approach 1:
The patent resolves this contradiction by performing channel quality estimation in advance for future time points. The system determines the future position and estimates channel conditions before the actual transmission occurs, allowing parameter adaptation to be prepared beforehand rather than requiring time-consuming real-time adjustments during fast motion patterns.
3Reliability
If the system accounts for dynamic vehicle movements and environmental influences, then reliability of communication improves, but device complexity increases
Solution Approach 1:
The patent improves reliability by proactively determining future positions and estimating channel quality in advance. This allows the system to pre-adapt communication parameters to anticipated channel conditions, ensuring more reliable communication during fast motion patterns without requiring overly complex real-time processing systems.
Solution Approach 2:
The patent uses positioning information and motion vectors as simplified representations (copies) of the actual dynamic environment. Instead of directly modeling complex environmental influences and vehicle movements in real-time, the system uses these surrogate data to infer future channel conditions, maintaining reliability while controlling system complexity.
4Ease of operation
If existing methods assume symmetrical channels, then ease of operation is improved, but loss of information about actual channel conditions increases in heterogeneous communication systems
Solution Approach 1:
The patent addresses information loss by determining future position and estimating channel quality in advance using positioning information and environmental models. This preliminary estimation captures channel conditions that would otherwise be lost under symmetrical channel assumptions, allowing the system to maintain simple operation while preserving critical channel information through proactive modeling.
Data Source
AI summary
A method for adapting at least one parameter of a communication system between two subscribers, wherein at least one subscriber is mobile, in which case a current position of the mobile subscriber is determined at a time and a channel quality for a future time is estimated on the basis of the current position using an environmental model, wherein at least one parameter is changed at the future time on the basis of the estimation. Also disclosed is an apparatus.