Dynamic Demodulator Parameter Selection via Neural Network
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing demodulator parameters, leading to high power consumption without spectral efficiency loss.
Innovation Solution
The use of machine learning-based processing to dynamically select the least complex set of demodulator parameters for each data block, based on features expected to be received, to prevent degradation of demodulation performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex demodulator parameters are used for all data blocks, then demodulation performance is maintained, but power consumption increases
Solution Approach 1:
The patent implements dynamic selection of demodulator parameter complexity based on real-time channel conditions. The system switches between complex and simplified parameter sets depending on whether the channel supports reliable demodulation with reduced complexity, thereby adapting power consumption to actual performance requirements rather than using fixed complex parameters for all blocks.
Solution Approach 2:
The patent changes demodulator parameters (such as FFT size, cyclic prefix length, pilot density) based on channel conditions. By adjusting these parameters dynamically, the system maintains adequate demodulation performance while reducing computational complexity and power consumption when channel conditions permit simpler parameter configurations.
2Use of energy by moving object
If simple demodulator parameters are used to reduce power consumption, then power efficiency improves, but demodulation performance degrades
Solution Approach 1:
The system dynamically adjusts demodulator parameter complexity based on channel quality metrics. When channels are favorable, simplified parameters are used to reduce power consumption. When channel conditions deteriorate, the system transitions to more complex parameter sets to maintain demodulation performance, thus dynamically balancing power efficiency and reliability.
Solution Approach 2:
The patent employs feedback mechanisms where demodulation performance is monitored and used to adjust parameter selection. The system evaluates channel conditions and previous demodulation outcomes to determine whether simplified parameters will maintain adequate performance, creating a closed-loop control that prevents performance degradation while maximizing power efficiency.
3Use of energy by moving object
If demodulator parameters are selected dynamically for each data block, then power consumption is reduced, but system complexity increases
Solution Approach 1:
The patent performs preliminary classification of channel conditions using relatively simple metrics before selecting demodulator parameters. By pre-categorizing channel states (e.g., good, moderate, poor) based on easily measurable features, the system avoids complex real-time optimization while still achieving dynamic parameter adaptation that reduces power consumption.
Solution Approach 2:
The patent segments the parameter selection process into discrete, manageable categories based on channel conditions. Rather than continuous optimization, the system divides parameter choices into distinct sets (complex, medium, simple) that can be selected based on channel quality thresholds, reducing the computational burden of parameter selection while maintaining power efficiency benefits.
Data Source
AI summary
A method of wireless communication by a receiver, includes predicting, with an artificial neural network, at each data block of a set of data blocks, a least complex set of demodulator parameters that will achieve a goal, based on features of a data block expected to be received. The method also includes dynamically selecting the least complex set of demodulator parameters, from multiple sets of demodulator parameters, based on the features of the data block expected to be received. The selecting occurring to prevent degradation of demodulation performance for each data block with the selected set of demodulator parameters for the data block, with respect to a more complex set of demodulator parameters.