Skywave Frequency Selection for Low Latency Communication
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Solution Overview
Problem
High latency in communication systems, particularly across vast distances, such as those spanned by fiber optic cables and satellite networks, leads to delays that can cause significant issues in various applications, including financial transactions, scientific experiments, and remote operations, where timely data transmission is critical.
Innovation Solution
A system that uses skywave propagation in conjunction with fiber optic cables to minimize latency by continuously monitoring atmospheric conditions and adjusting transmission frequencies to optimize signal quality, switching between different frequencies based on real-time data fusion and predictive modeling to ensure low latency and high reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If fiber optic cables are used to transmit data across vast distances, then bandwidth is high, but latency increases significantly
Solution Approach 1:
The patent combines fiber optic cable transmission with skywave radio propagation to create a hybrid communication system. The fiber optic path provides high bandwidth while the skywave path provides low latency, and the system dynamically switches between or combines these paths to achieve both high bandwidth and low latency simultaneously.
Solution Approach 2:
The communication system is designed to perform multiple functions: it can transmit data over fiber optic cables for high bandwidth applications, switch to skywave propagation for low latency requirements, and dynamically adapt between these modes based on real-time atmospheric conditions and performance requirements.
2Loss of time
If skywave propagation is used to decrease latency, then transmission speed improves, but reliability deteriorates due to atmospheric condition changes
Solution Approach 1:
The system dynamically adjusts transmission parameters including frequency selection, power levels, and modulation schemes based on real-time atmospheric conditions monitored through ionosonde data and signal quality metrics. This allows the system to optimize for low latency while maintaining reliability by adapting to changing ionospheric conditions.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring signal quality, atmospheric conditions, and transmission performance. This feedback is used to adjust transmission parameters in real-time, switch between frequency bands, or transition between fiber optic and skywave paths to maintain both low latency and high reliability.
3Device complexity
If transmission frequency is fixed, then system complexity is low, but adaptability to atmospheric conditions deteriorates
Solution Approach 1:
The system changes transmission parameters including frequency, power, and modulation characteristics based on atmospheric conditions. The frequency can be dynamically adjusted within and between bands to optimize propagation through the ionosphere, while the system monitors ionosonde data to predict and adapt to changing conditions.
Solution Approach 2:
The system uses ionosonde network data and atmospheric modeling to predict upcoming changes in ionospheric conditions before they affect transmission. This allows the system to pre-adjust transmission parameters or switch paths in advance, maintaining performance while managing complexity through predictive rather than purely reactive control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for quick and reliable data transmission with minimal interruption, reducing latency and errors by dynamically adjusting transmission frequencies according to changing atmospheric conditions, thereby enhancing the performance of communication systems in latency-sensitive applications.
Implementation Method 1
when using skywave propagation to transmit information, changes in atmospheric conditions in the Earth's ionosphere may affect a radio wave's ability to reach a desired location
Implementation Method 2
changes in atmospheric conditions in the Earth's ionosphere may affect a radio wave's ability to reach a desired location
Data Source
AI summary
A communication system transmits data between communication nodes over a data transmission path. The system collects data from at least two different sources to create a fused data stream that is used as the input to a model for determining a frequency at which to transmit the data by skywave propagation. The data is transmitted between the communication nodes at the frequency determined by the model.