Multi-Frequency Data Transmission Parameter Determination
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Solution Overview
Problem
Existing methods for determining data transmission parameters in telecommunications systems, such as satellite transmission systems, fail to account for interference across multiple frequencies, leading to overestimation of signal-to-noise ratios and inappropriate modulation and error correcting code selection, resulting in incorrect transmission.
Innovation Solution
A method that calculates parameters representative of signal-to-noise ratios, interference rates, and variance across multiple frequencies to dynamically adapt modulation and coding modes, ensuring optimal parameter selection based on the average signal-to-noise ratio adjusted for interference impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods determine transmission parameters based on average signal-to-noise ratio, then the determination process is simple, but interference on specific frequencies is not accounted for leading to overestimation of transmission quality
Solution Approach 1:
The patent segments the frequency spectrum into multiple individual frequencies and evaluates the signal-to-noise ratio for each frequency separately rather than using a single average value. This segmentation allows identification of frequencies affected by interference while maintaining manageable complexity through systematic processing of divided elements.
Solution Approach 2:
The patent applies local quality by assigning different modulation and coding parameters to different frequency segments based on their individual signal-to-noise ratio characteristics. Frequencies with good signal quality use higher-order modulation while interfered frequencies use more robust lower-order modulation, optimizing overall transmission reliability.
2Adaptability or versatility
If transmission parameters are adapted to only account for attenuation variations, then the adaptation mechanism is simple, but other transmission disturbances such as interference are not considered
Solution Approach 1:
The patent implements dynamic adaptation by continuously monitoring signal-to-noise ratio on each frequency and adjusting modulation and coding parameters in real-time based on current conditions. This dynamic approach allows the system to respond to changing interference patterns while maintaining simple base mechanisms for parameter adjustment.
Solution Approach 2:
The patent changes transmission parameters (modulation order, coding rate) based on measured signal-to-noise ratio values for different frequency segments. By varying these parameters according to actual channel conditions, the system achieves versatile adaptation while ensuring reliable transmission even in the presence of interference.
3Device complexity
If single frequency transmission is used, then the transmission system is simple, but interference affects the entire transmission and cannot be mitigated through frequency diversity
Solution Approach 1:
The patent transitions from single-frequency transmission to multi-frequency transmission, adding the frequency dimension as a degree of freedom. This allows the system to distribute information across multiple frequency paths, providing diversity against interference while maintaining relatively simple transmitter and receiver structures through orthogonal frequency division multiplexing techniques.
Data Source
Figure 1~2
AI summary
A method and system for determining the parameters used for data transmission, where transmission is carried out using a plurality of transmission frequencies. The method comprises a first step of determining, for each frequency, the value of a first parameter representing the ratio between the power of the transmitted signal using that frequency and the power of the noise present at that frequency. The method then comprises a second step of determining the value of a second parameter representing the ratio between the number of frequencies for which the first parameter is less than a first threshold and the total number of frequencies. A third step then allows the determination of the value of a third parameter representing the variance of the dispersion of the values taken by the first parameters.A fourth step determines the value of a fourth parameter, representing the average of the first parameters minus the values of the second and third parameters. Finally, a fifth step determines a modulation type and an error-correcting coding type, along with their respective parameters, to be used for data transmission based on the value of the fourth parameter.