Adaptive ADC Bit Resolution for Wireless Power-Quality Tradeoffs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Next-generation wireless communication systems face challenges in optimizing analog-to-digital conversion parameters, such as resolution and quantization levels, to balance performance and power consumption effectively, especially in dynamic environments like 5G NR systems.
Innovation Solution
The proposed solution involves configuring the number of bits and quantization levels for analog-to-digital converters dynamically based on signal-to-noise-plus-interference ratio (SINR), reference signal received power (RSRP), and remaining battery power, allowing user equipment (UE) to autonomously or be requested by base stations to adjust these parameters for optimal performance and power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of bits for analog-to-digital conversion is increased, then the signal quality and communication performance are improved, but the power consumption of the user equipment increases
Solution Approach 1:
The patent implements dynamic adjustment of the number of bits for analog-to-digital conversion based on real-time channel conditions and battery status. The UE can switch between different bit resolutions (e.g., 6-bit, 8-bit, 10-bit) depending on whether the channel quality is good or poor and whether battery power is sufficient, thereby optimizing the trade-off between signal quality and power consumption in varying operational scenarios
Solution Approach 2:
The patent changes the resolution parameter of the analog-to-digital converter dynamically. By adjusting the number of bits (resolution) based on channel conditions and power availability, the system adapts the conversion precision to match current operational requirements, using higher resolution only when necessary for maintaining communication quality
2Use of energy by moving object
If the number of bits for analog-to-digital conversion is decreased, then the power consumption is reduced, but the communication quality and throughput deteriorate
Solution Approach 1:
The system dynamically adjusts bit resolution based on channel conditions and power status. When channel quality is poor or battery power is low, the UE can reduce to fewer bits (e.g., 6-bit), thereby reducing power consumption while maintaining adequate throughput for the current channel conditions through adaptive modulation and coding schemes
3Measurement precision
If the quantization levels are increased, then the analog-to-digital conversion accuracy is improved, but the device complexity and power consumption increase
Solution Approach 1:
The patent implements dynamic switching between different quantization level configurations. The UE can select from predefined quantization levels (e.g., corresponding to 6-bit, 8-bit, 10-bit resolutions) based on channel conditions and power availability, avoiding the need for continuously variable complex quantization mechanisms while maintaining adaptability
Solution Approach 2:
The system changes the quantization parameter (number of levels) dynamically based on operational conditions. By selecting from discrete quantization level options rather than continuously adjusting complexity, the system achieves adaptability while controlling device complexity through standardized converter configurations
Data Source
AI summary
Aspects relate to analog-to-digital conversion of an analog signal. The resolution (number of bits) and/or the quantization levels of the analog-to-digital conversion may be configurable. A device may configure its analog-to-digital conversion parameters. For example, a first device may reduce the number of bits for its analog-to-digital converter to reduce power consumption. In this case, the first device may transmit an indication of selected analog-to-digital conversion parameters to a second device that will transmit to the first device. In this way, the second device may take appropriate action, if needed. A device may request another device to use certain analog-to-digital conversion parameters. For example, a first device may determine that a second device should use a larger number of bits for its analog-to-digital conversion process to improve the quality of the communication between the first and second devices.