Data Transmission Method Reducing PAPR via Frequency Domain Filtering
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Solution Overview
Problem
In high-frequency communication scenarios, existing technologies face challenges with high peak-to-average power ratio (PAPR) signals, significant phase noise, large Doppler shifts, and low signal-to-noise ratios, which are not adequately addressed in current 5G New Radio standards, particularly in beyond 5G and 6G mobile communication technologies, where low PAPR and reduced out-of-band leakage are required to improve power amplifier efficiency and battery life.
Innovation Solution
A data transmission method involving M-point discrete Fourier transform (DFT) followed by filtering using a root raised cosine function and subsequent N-point inverse DFT to obtain second time domain data for transmission, which reduces PAPR and out-of-band leakage, thereby enhancing signal efficiency and power amplifier performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data transmission signals are used, then data transmission can be achieved, but the peak to average power ratio (PAPR) is high which cannot meet high frequency scenario requirements
Solution Approach 1:
The patent applies parameter changes by transforming the signal from time domain to frequency domain using DFT, applying filtering operations to modify frequency components, and then transforming back to time domain using IDFT. This multi-parameter transformation and filtering process fundamentally changes the signal characteristics to reduce PAPR while maintaining transmission reliability in high frequency scenarios.
Solution Approach 2:
The patent introduces frequency domain as an intermediary representation between time domain signals. By converting the time domain signal to frequency domain, applying filtering operations in the frequency domain, and then converting back to time domain, the system uses the frequency domain as a mediator to achieve PAPR reduction without directly manipulating the time domain signal characteristics.
2Loss of energy
If filtering operation is performed on frequency domain data, then PAPR is reduced, but the processing complexity increases
Solution Approach 1:
The patent replaces direct time domain signal processing with frequency domain processing. Instead of complex time domain filtering operations that would require sophisticated signal processing, the system uses simpler frequency domain filtering operations after DFT transformation, which can be implemented more efficiently and reduce PAPR with lower processing complexity.
Solution Approach 2:
The patent transitions from one-dimensional time domain signal processing to two-dimensional frequency domain processing. By adding the frequency domain dimension through DFT, the system can apply filtering operations that are simpler and more efficient, reducing PAPR while actually decreasing the overall processing complexity compared to direct time domain methods.
Data Source
AI summary
A data transmission method includes: performing M-point discrete Fourier transform (DFT) on first time domain data to obtain frequency domain data; performing a filtering operation on the frequency domain data to obtain filtered frequency domain data; performing N-point inverse discrete Fourier transform (IDFT) on the filtered frequency domain data to obtain second time domain data; and transmitting the second time domain data on a physical resource.