Receiver Power Control Using Channel Quality and Error Feedback
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Solution Overview
Problem
Conventional communication systems fail to adapt power consumption based on varying signal conditions, leading to inefficient power usage as they do not account for changes in communication channel quality, signal characteristics, and error rates, resulting in suboptimal performance.
Innovation Solution
A communication receiver system that quantitatively estimates receive signal factors and maps these to performance parameters to minimize power consumption, incorporating a receiver front end circuit, signal strength detectors, and a performance parameter control to adjust power consumption dynamically based on channel quality, signal characteristics, and error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional communication systems maintain fixed performance parameters, then system reliability is maintained, but power consumption increases unnecessarily when signal conditions are good
Solution Approach 1:
The system dynamically adjusts receiver performance parameters (such as signal processing complexity, decoding rate, and equalization strength) based on real-time channel quality indicators like SNR and BER measurements. This allows the receiver to transition from static to adaptive operation, reducing power consumption when channel conditions are favorable while maintaining reliability when conditions deteriorate.
Solution Approach 2:
The invention changes operational parameters of the receiver based on measured signal factors. Specifically, it modifies processing parameters (signal processing complexity, decoding rate, equalization strength) as functions of channel quality metrics, enabling the system to optimize power consumption by reducing processing intensity when channel conditions are good and increasing it when conditions worsen.
2Use of energy by moving object
If receiver performance parameters are reduced to minimize power consumption, then power efficiency improves, but system reliability deteriorates when signal conditions are poor
Solution Approach 1:
The system continuously monitors channel quality indicators (SNR, BER, signal strength) and uses this feedback to adjust performance parameters in real-time. This closed-loop control ensures that power consumption is minimized only when channel conditions permit, while automatically increasing performance parameters when signal quality deteriorates, thus maintaining reliability across varying conditions.
Solution Approach 2:
The receiver dynamically adapts its performance parameters based on real-time channel assessments. When channel quality is good, the system operates at lower performance levels to save power; when channel quality deteriorates, the system automatically increases processing complexity and performance parameters to maintain reliable signal reception.
3Object-affected harmful factors
If the system increases processing complexity to handle strong undesired signals, then抗 interference capability improves, but power consumption increases
Solution Approach 1:
The system applies enhanced signal processing (such as interference cancellation or advanced equalization) selectively only when and where needed - specifically when strong undesired signals are detected in the channel. Rather than maintaining high processing complexity continuously, the system activates enhanced processing only during periods of high interference, thereby improving anti-interference capability while minimizing unnecessary power consumption during normal conditions.
Data Source
AI summary
A communication receiver which applies signal processing for quantitatively estimating receive signal factors such as communication channel quality, signal characteristics, and overall system received bit error rate (BER) or packet error rate (PER) and which applies a general algorithm for mapping these estimated factors to control receiver performance and minimize power consumption.