Non-linearity Correction Using Statistical Moments
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently correcting non-linearity errors in power amplifier (PA) signals, particularly at low signal-to-noise ratios (SNRs) or signal-to-interference-plus-noise ratios (SINRs), which can lead to performance degradation.
Innovation Solution
The implementation of an enhanced non-linearity correction procedure based on statistical moments, which involves calculating and reporting statistical attributes such as mean and variance of PA coefficients, and using a linear minimum mean square error (LMMSE) method for correction, reduces the computational burden and maintains performance even in low SNR scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional non-linearity correction procedures are used, then correction accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The transmitter pre-calculates and transmits statistical attributes (mean and variance) of PA coefficients before actual data transmission. This preliminary action allows the receiver to perform correction using pre-provided statistical information rather than performing complex real-time calculations, thereby reducing computational complexity while maintaining correction accuracy
Solution Approach 2:
Instead of transmitting the actual PA coefficients or performing complex correction calculations at the receiver, the patent transmits simplified statistical attributes (mean and variance) as a copy of the essential information. This copying approach reduces the amount of data processing required while preserving the necessary correction capability
2Reliability
If non-linearity correction is performed frequently, then correction performance is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic non-linearity correction based on the periodicity of PA coefficient changes rather than continuous correction. The receiver performs correction at intervals determined by the periodicity parameter, which reduces power consumption while maintaining adequate correction performance for the given communication conditions
Solution Approach 2:
The patent changes the correction parameter from continuous or per-signal correction to periodic correction based on statistical attributes. By using the mean and variance of PA coefficients to determine optimal correction intervals, the system achieves parameter optimization that balances performance and power consumption
3Measurement precision
If statistical attributes are transmitted for each PA coefficient, then correction accuracy is improved, but overhead increases
Solution Approach 1:
The patent makes the statistical attributes universal by transmitting the mean and variance for all PA coefficients simultaneously rather than individually. This multi-functional approach allows the receiver to use these statistical attributes for correction across multiple coefficients, reducing the total overhead while maintaining comprehensive correction capability
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A second wireless device may perform an enhanced non-linearity correction procedure. For example, the second wireless device may transmit, to a first wireless device, a capability report and, additionally, or alternatively, a request for a statistical attribute report associated with a power amplifier (PA) of the first wireless device. The statistical attribute report may include one or more statistical attributes associated with one or more PA coefficients for the PA. The second wireless device may receive, in response to the request, the statistical attribute report and a data signal based on the one or more PA coefficients for the PA from the first wireless device. The second wireless device may perform, based on the statistical attribute report and the data signal, an enhanced non-linearity correction procedure on the data signal.


