Modulating Tones in Long Training Field Symbols
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Solution Overview
Problem
Existing wireless communication technologies face challenges in efficiently transmitting data using Extremely High Throughput (EHT)-Long Training Field (LTF) symbols, as they often limit the number of transmitted symbols to accommodate channel estimation, thereby reducing the amount of data that can be included in the transmission.
Innovation Solution
The method involves modulating tones in EHT-LTF symbols to include both training data and additional data, allowing for more information to be transmitted while maintaining effective channel estimation, by using a first modulation for training and a second modulation for data, enabling longer symbol durations and richer preamble content without compromising channel estimation quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of transmitted LTF symbols is limited to accommodate channel estimation, then channel estimation quality is maintained, but the amount of data that can be transmitted is reduced
Solution Approach 1:
The patent divides the LTF symbol tones into multiple subsets (first subset and second subset), where the first subset is used for channel estimation and the second subset carries additional data. This segmentation allows simultaneous achievement of accurate channel estimation and increased data transmission capacity by treating different tone subsets with different functions.
Solution Approach 2:
The LTF symbol is designed to serve multiple functions: the first subset of tones performs channel estimation while the second subset of tones transmits additional data. This multi-functionality eliminates the need for separate training symbols and data symbols, thereby increasing overall data transmission efficiency without compromising channel estimation quality.
2Productivity
If distinct data fields are added to transmit more information, then data transmission capacity increases, but transmission time increases
Solution Approach 1:
The patent merges the channel estimation function and additional data transmission function into a single LTF symbol structure. By combining these functions in one symbol rather than using separate symbols for each function, the transmission time is minimized while still achieving increased data transmission capacity through the second subset of tones.
Solution Approach 2:
The patent performs channel estimation using the first subset of tones before utilizing the second subset of tones for additional data transmission within the same LTF symbol. This preliminary action ensures that channel estimation is completed efficiently without delaying the subsequent data transmission, thereby optimizing overall transmission time.
Data Source
AI summary
A method includes obtaining a transmission to be transmitted via a transmission channel. The method also includes identifying at least one symbol included in the transmission. The at least one symbol may include multiple tones. The method further includes performing a first modulation to a first subset of the multiple tones. The method also includes performing a second modulation to a second subset of the multiple tones.