Dynamic ADC Resolution Signal Reconstruction
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Solution Overview
Problem
In wireless communication systems, especially those operating at higher carrier frequencies, the power consumption of analog-to-digital converters (ADCs) increases with sampling frequency and resolution, leading to higher energy consumption and reduced battery life in user equipment (UEs).
Innovation Solution
A method where a base station determines reconstruction information for a time-domain signal, estimating channel conditions and ADC bit usage, and transmits this information to a UE, allowing the UE to dynamically adjust its ADC resolution and reduce power consumption by efficiently reconstructing the signal using machine learning algorithms and error detection processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sampling frequency and resolution of the ADC are increased to support higher carrier frequencies, then the signal processing capability is improved, but the power consumption increases
Solution Approach 1:
The ADC resolution is made dynamically adjustable rather than fixed. The UE can switch between different resolution levels (e.g., 6-bit, 8-bit, 10-bit) depending on the operating conditions and signal requirements. This dynamic adaptation allows the system to use lower resolution (and thus lower power) when high precision is not necessary, while still maintaining the capability for high precision when needed for higher carrier frequencies.
Solution Approach 2:
The system changes the ADC resolution parameter based on operating conditions. By adjusting the resolution parameter dynamically, the power consumption can be optimized without permanently sacrificing signal processing capability. The base station also adapts its signal processing (clipping, quantization) based on the estimated ADC resolution to maintain reconstruction accuracy.
2Measurement precision
If the ADC resolution is increased to maintain signal accuracy, then the measurement precision is improved, but the power consumption increases
Solution Approach 1:
The ADC resolution is made dynamically adjustable rather than fixed. The UE can switch between different resolution levels (e.g., 6-bit, 8-bit, 10-bit) depending on the operating conditions and signal requirements. This dynamic adaptation allows the system to use lower resolution (and thus lower power) when high precision is not necessary, while still maintaining the capability for high precision when needed for higher carrier frequencies.
Solution Approach 2:
The base station performs preliminary processing of the signal by applying clipping and quantization based on the estimated ADC resolution before transmission. This preliminary action prepares the signal in advance to match the UE's ADC capabilities, allowing the UE to use lower resolution ADC settings without losing signal accuracy, thus reducing power consumption while maintaining measurement precision.
3Measurement precision
If the base station transmits additional reconstruction information to enable signal reconstruction, then the signal accuracy is improved, but the data transmission overhead increases
Solution Approach 1:
The base station extracts and transmits only the essential reconstruction information needed for signal recovery, rather than transmitting the entire high-resolution signal. By identifying and transmitting only the critical parameters (clipping thresholds, quantization levels, selected signal points), the system achieves accurate signal reconstruction with minimal overhead, removing unnecessary data while preserving essential information.
Solution Approach 2:
Instead of transmitting the complete high-resolution signal, the base station creates a simplified representation (copy) of the signal using clipping and quantization, and transmits this reduced version along with minimal reconstruction information. The UE uses this copied information to reconstruct the original signal, achieving accurate recovery with significantly reduced data transmission overhead.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. A transmitting device may determine reconstruction information for a time-domain signal and may transmit the reconstruction information with the time-domain signal to a receiving device. The transmitting device may generate the reconstruction information based on estimates of how the receiving device may process the time-domain signal. For example, the transmitting device may apply a channel estimate to samples of the time-domain signal, and further perform clipping and quantization of the samples based on an estimated dynamic analog-to-digital converter (ADC) resolution of the receiving device. The transmitting device may generate the reconstruction information (e.g., using machine learning or other techniques) based on samples having the channel estimate applied and the clipped and quantized samples. The receiving device may process the received time-domain signal and use the reconstruction information to reconstruct the processed time-domain signal.