Dynamic Word Length Adaptation for RF Receiver Power Savings
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Solution Overview
Problem
Digital signal processing systems in wireless communication face challenges in reducing power consumption while maintaining signal quality, as fixed word lengths optimized for high signal quality scenarios are inefficient in noise-limited environments, leading to increased energy consumption and errors.
Innovation Solution
Implementing a dynamic word length adaptation mechanism in digital radio receivers based on signal-to-noise and distortion ratio (SNDR), where a quality estimation unit adjusts both digital transmission and DSP word lengths dynamically according to the current SNDR scenario, using lookup tables to select optimal word lengths for varying power levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed word lengths optimized for optimum performance in high signal quality scenarios are used, then signal quality is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by transitioning from fixed word length to dynamic word length adjustment. The system continuously monitors signal quality metrics (SNR, SINR, or SNDR) and adapts the word length of digital signals in the baseband processing chain according to current channel conditions. This allows the system to use shorter word lengths when signal quality is poor (reducing power consumption) and longer word lengths when signal quality is good (maintaining signal fidelity), thereby resolving the contradiction between signal quality and power consumption.
Solution Approach 2:
The patent implements parameter changes by modifying the word length parameter based on signal quality measurements. The system changes the precision parameter (word length) of digital signal representations dynamically, adjusting it according to measured channel conditions such as SNR, SINR, or SNDR. This parameter adaptation enables the system to optimize the trade-off between computational precision and energy consumption by using only the necessary precision for current signal conditions.
2Use of energy by moving object
If data wordlength is decreased to reduce energy consumption, then power consumption is reduced, but computation accuracy decreases and errors increase
Solution Approach 1:
The system dynamically adjusts word length based on real-time signal quality assessments. When channel conditions are poor (low SNR/SINR/SNDR), the system maintains longer word lengths to preserve computation accuracy and prevent error accumulation. When channel conditions are good, the system reduces word length to lower power consumption. This dynamic adaptation ensures that computation accuracy is maintained at the minimum necessary level while optimizing power consumption.
Solution Approach 2:
The patent changes the word length parameter adaptively based on signal quality metrics. The system monitors channel conditions and adjusts the precision parameter (word length) of digital signals processing accordingly. This parameter change strategy ensures that computation accuracy is sufficient for current signal conditions while minimizing energy consumption by avoiding excessive precision when not needed.
3Device complexity
If fixed word lengths are used for all scenarios, then device complexity is reduced, but adaptability to varying signal quality environments deteriorates
Solution Approach 1:
The patent introduces dynamic adaptation mechanisms that allow the system to adjust word length based on varying signal quality conditions. This dynamic capability enables the system to adapt to different channel environments (noise-limited, interferer-limited, or optimum scenarios) by selecting appropriate word lengths, thereby improving adaptability while maintaining manageable complexity through systematic implementation.
Solution Approach 2:
The system performs self-adaptation by automatically monitoring signal quality metrics and adjusting its own processing parameters (word length) without external intervention. The baseband processing chain autonomously assesses channel conditions and modifies its operation accordingly, enabling the system to serve itself in adapting to varying environments while maintaining optimal performance across different scenarios.
Data Source
AI summary
A radio frequency (RF) transceiver system comprises an input port configured to receive an RF receive signal and a receiver (RX) digital signal processing (DSP) unit configured to process a digital IF signal based on the RF receive signal and generate a processed digital IF signal at an output port based thereon. Further, the RF transceiver system comprises a digital interface unit comprising a digital interface configured to convey the processed digital IF signal from the output port. In addition, the RF transceiver system comprises a quality estimation unit configured to estimate a quality indicator of the RF receive signal or a signal associated therewith, and dynamically adapt a digital transmission word length of the processed digital IF signal over the digital interface, based on the estimated quality indicator.