Reference Signal Probing for Wireless Nonlinear Distortion Compensation
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Solution Overview
Problem
In wireless communications, distortion of transmission waveforms due to nonlinear responses of transmission components, such as signal clipping caused by power amplifiers, hinders successful reception and leads to inefficient power usage.
Innovation Solution
A method where a first device configures a second device to transmit a first reference signal with a low peak to average power ratio and a second reference signal with a higher peak to average power ratio for probing nonlinear responses. The first device then determines a neural network model and weights based on channel estimates from both signals to estimate transmission and reception metrics, and communicates with the second device using these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high peak to average power ratio reference signal is transmitted to probe nonlinear responses, then measurement precision of nonlinear distortion is improved, but device complexity increases due to neural network model processing requirements
Solution Approach 1:
The system performs preliminary characterization of nonlinear responses by transmitting high PAPR reference signals and using neural network models to pre-compute compensation metrics. These metrics are then applied during actual data transmission to mitigate distortion effects, separating the complex measurement and computation phases from the data communication phase.
Solution Approach 2:
The patent introduces neural network models as intermediary components that process the relationship between transmitted reference signals and received distorted signals. These models act as mediators that learn and predict nonlinear distortion characteristics, enabling the system to compensate for power amplifier effects without requiring direct complex interference cancellation during data transmission.
2Power
If power amplifiers operate at high power levels to improve transmission power, then transmission power is improved, but harmful factors increase due to signal clipping and nonlinear distortion
Solution Approach 1:
The system uses feedback mechanisms where the receiver measures nonlinear distortion using high PAPR reference signals, communicates channel state information and distortion metrics back to the transmitter, and the transmitter adjusts its transmission parameters accordingly. This closed-loop feedback enables the system to operate power amplifiers at optimal power levels while compensating for resulting distortion.
Solution Approach 2:
The patent changes operational parameters by transmitting reference signals with different peak to average power ratios - using low PAPR signals for normal data transmission and high PAPR signals specifically for probing nonlinear responses. The system also dynamically adjusts neural network model parameters and weights based on measured distortion characteristics to optimize compensation.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A first device and a second device may communicate via a channel. The first device may generate and transmit a reference signal, which may be a distortion probing reference signal with a high peak to average power ratio. In one implementation, the first device may use the reference signal as an input for a neural network model to learn a nonlinear response of the second device transmission components. In another implementation, the second device may sample the generated reference signal, and use the samples as inputs for a neural network model to learn the nonlinear response. The first device and the second device may exchange signaling based on learning the nonlinear response, and each device may compensate for the nonlinear response when communicating via the channel.