Adaptive ADC Bit Resolution for Low-Power 5G Terminals
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Solution Overview
Problem
In wireless communication systems, especially in 5G networks, there is a need to reduce energy consumption in terminals while maintaining effective data transmission, particularly due to the increased demand for data traffic and the use of millimeter wave frequency bands, which requires efficient energy management to minimize propagation loss and increase propagation distance.
Innovation Solution
The method involves adjusting the bit resolution value of an analog-to-digital converter (ADC) in terminals based on parameters such as maximum modulation and coding scheme (MCS), channel quality indicator (CQI), channel intensity, interference, thermal noise, and signal-to-quantization noise ratio (SQNR), to optimize energy consumption while ensuring transmission error rates are within specific limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the bit resolution value of ADC is increased to improve data transmission quality, then measurement precision and reliability are improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of ADC bit resolution based on real-time channel conditions. The terminal determines the bit resolution value adaptively according to channel quality indicators (CQI) and signal-to-noise ratio (SNR), switching between different resolution levels (e.g., 6-bit, 8-bit, 10-bit) to match current transmission requirements. This dynamic approach allows the system to use higher resolution only when necessary for maintaining transmission quality, rather than operating at maximum resolution continuously, thus resolving the contradiction between measurement precision and energy consumption.
Solution Approach 2:
The patent changes the operational parameters of the ADC by adjusting its bit resolution value based on channel conditions. When channel quality is good, the system reduces the bit resolution to save energy; when channel quality degrades, the system increases the bit resolution to maintain transmission reliability. This parameter adjustment is controlled through feedback mechanisms where the terminal reports CQI values to the base station, which then determines appropriate MCS and ADC resolution settings, effectively managing the trade-off between precision and energy usage.
2Use of energy by moving object
If the bit resolution value of ADC is decreased to reduce energy consumption, then energy efficiency is improved, but transmission error rate increases
Solution Approach 1:
The patent employs feedback mechanisms where the terminal measures channel quality and reports CQI values to the base station. The base station uses this feedback to determine appropriate ADC bit resolution values and MCS settings that maintain transmission reliability while optimizing energy consumption. The feedback loop ensures that when bit resolution is reduced to save energy, the system compensates by adjusting other parameters (such as modulation order or coding rate) to keep the transmission error rate within acceptable limits.
Solution Approach 2:
The patent adjusts multiple parameters in coordination, including ADC bit resolution, modulation and coding scheme (MCS), and channel quality indicator (CQI). When energy consumption needs to be reduced, the system decreases ADC bit resolution but simultaneously adjusts MCS and CQI to compensate for the reduced precision, thereby maintaining transmission reliability. This coordinated parameter adjustment allows the system to operate at lower energy consumption levels without significantly increasing error rates.
3Reliability
If high bit resolution ADC is used to maintain transmission quality, then data transmission reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic switching of ADC bit resolution levels, allowing the terminal to operate with simpler, lower-resolution ADC configurations during normal conditions and switch to higher-resolution modes only when transmission reliability requires it. This dynamic capability reduces the need for permanently complex high-resolution hardware, as the system can adapt its effective resolution based on actual channel conditions, thereby reducing overall device complexity while maintaining reliability when needed.
Data Source
AI summary
A terminal may obtain a parameter related to energy consumption of the terminal, determine a bit resolution value of an analog-to-digital converter (ADC) of the terminal for reducing the energy consumption of the terminal, and set the bit resolution value of the ADC as the determined bit resolution value.