Adaptive Baseband Predistortion Circuit for Lower Current Draw
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Solution Overview
Problem
Conventional predistortion circuits in wireless transmitters consume excessive power due to their fixed complexity, which is designed to support the most complex waveform, leading to unnecessary energy usage for less complex waveforms, and struggle with high bandwidth and complex modulation schemes in 5G NR, resulting in increased current consumption and heat dissipation issues.
Innovation Solution
The implementation of a predistortion circuit that dynamically selects between different predistorter configurations based on operating characteristics and signal bandwidth, using a configuration handling circuit to choose between simpler and more complex predistorter configurations, and operates computation nodes at varying sample rates to reduce current consumption and design complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed complexity predistorter configuration is designed to support the most complex waveform, then the predistortion circuit can handle all waveform complexities, but current consumption increases excessively for less complex waveforms
Solution Approach 1:
The predistorter configuration is made dynamic by introducing a configuration handling circuit that selects between different predistorter configurations (first, second, third) based on the detected waveform characteristics. This allows the system to adapt its complexity in real-time, using only the necessary computational resources for each specific waveform type, thereby reducing unnecessary current consumption while maintaining universal waveform compatibility.
Solution Approach 2:
The system changes the operational parameters of the predistorter by switching between multiple predefined configurations with different complexity levels. The configuration handling circuit detects waveform parameters and selects the appropriate predistorter configuration, effectively changing the system's operational state to match the input signal characteristics, thus optimizing the trade-off between adaptability and energy consumption.
2Measurement precision
If computation nodes operate at high sample rates to support high bandwidth signals, then signal processing accuracy improves, but current consumption and heat dissipation increase
Solution Approach 1:
Different computation nodes within the predistorter are assigned different operational characteristics based on their specific functional requirements. The configuration handling circuit selects configurations where computation nodes operate at sample rates appropriate for their local processing needs rather than uniformly at the maximum rate, thereby maintaining signal processing accuracy where required while reducing overall current consumption and heat dissipation.
3Adaptability or versatility
If a single high-complexity predistorter configuration is used, then all waveform types can be processed, but device complexity and power consumption increase unnecessarily
Solution Approach 1:
The predistorter is segmented into multiple configurations with different complexity levels (first, second, third configurations), each optimized for specific waveform types. The configuration handling circuit acts as a selector that divides the overall processing task by choosing the appropriate segment (configuration) based on waveform detection, thereby reducing the effective complexity required for each processing instance while maintaining comprehensive waveform support capability.
Data Source
AI summary
A predistortion circuit for a wireless transmitter includes a signal input configured to receive a baseband signal. Further, the predistortion circuit includes a predistorter configured to generate a predistorted baseband signal using the baseband signal and a select of one of a first predistorter configuration and a second predistorter configuration.