Cooperative Spectrum Sensing for Cognitive Radio Power Trade-Offs
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Solution Overview
Problem
The scarcity of available electromagnetic spectrum for mobile communication due to inefficient usage and the lack of flexible spectrum allocation leads to overcrowding, necessitating a method to optimize radio spectrum usage and reduce power consumption in cognitive radio devices.
Innovation Solution
A method combining mobile users' capabilities with classic statistics theory and digital signal processing to compute a trade-off among baseband sampling, spectrum sensing duration, probability of correct channel detection, and ADC power consumption, considering the number of bits levels of resolution, while accounting for false alarm probabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the spectrum sensing duration is increased to improve detection probability, then the probability of correct channel detection is improved, but the power consumption increases
Solution Approach 1:
The patent applies partial action by performing spectrum sensing for only a fraction of the total available time rather than continuous sensing. The method divides the observation interval into multiple sensing slots, where sensing is performed in selected slots based on detection requirements, thereby reducing overall power consumption while maintaining adequate detection probability through selective sampling and cooperative sensing fusion.
2Measurement precision
If the baseband sampling rate is increased to improve measurement precision, then the probability of correct channel detection is improved, but the ADC power consumption increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the baseband sampling rate according to the specific sensing requirements and channel conditions. Instead of using a fixed high sampling rate, the system adapts the sampling rate parameter to achieve the minimum required detection accuracy, thereby optimizing the trade-off between measurement precision and ADC power consumption.
3Measurement precision
If the number of ADC bits is increased to improve signal resolution, then the detection accuracy is improved, but the power consumption increases
Solution Approach 1:
The patent applies partial action by using lower ADC bit resolution (e.g., 1-bit or low-resolution quantization) combined with cooperative sensing from multiple users. Instead of relying on high-resolution individual ADCs, the system achieves adequate detection accuracy through the aggregation of multiple low-resolution measurements, thereby significantly reducing ADC power consumption while maintaining detection performance.
Data Source
AI summary
The present invention relates to wireless mobile communication, digital signal processing as well as telecommunication engineering. An accuracy formulation method combining mobile users' capabilities and classic statistics theory as well as digital signal processing concepts is provided. The method is enabled to compute and provide a trade-off among baseband sampling, mobile user spectrum sensing duration time, probability to correctly detect an occupied channel and dynamic power consumption values considering the Analog to Digital Convertors (ADC) technical capabilities as a relation of the number of bits levels of resolution. In addition, probability of false alarm, i.e., the probability not to detect properly a vacant frequency, it is also computed.


