Dynamic Demodulator Selection for Low-Power Wireless Reception
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in power consumption due to the use of complex demodulators, which do not account for varying data block characteristics, leading to unnecessary power usage without maintaining throughput.
Innovation Solution
Implementing a machine learning-based approach to dynamically select the least complex demodulator for each data block based on its expected features, using an artificial neural network to predict and switch to a less complex demodulator without degrading performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If complex demodulators are used, then spectral efficiency is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic demodulator selection where the receiver adapts between different demodulator complexities based on real-time channel conditions. The system transitions from static demodulator configuration to dynamic adaptation, selecting simple demodulators when channel conditions permit and complex demodulators when performance requirements demand, thereby optimizing both power consumption and spectral efficiency across varying operational scenarios
Solution Approach 2:
The system changes the operational parameters of the demodulator by selecting from multiple demodulator types with different complexity levels. Instead of using a fixed complex demodulator, the system varies the demodulator complexity parameter based on channel state information, allowing operation at lower complexity (and thus lower power) when channel conditions allow, while maintaining high spectral efficiency when needed
2Use of energy by moving object
If less complex demodulators are used, then power consumption is reduced, but performance degrades
Solution Approach 1:
The system employs feedback mechanisms where the receiver monitors channel conditions and performance metrics, then uses this information to select appropriate demodulator complexity. The feedback loop ensures that when simple demodulators are selected, channel conditions are favorable enough to maintain performance, thus reducing power consumption without sacrificing reliability
Solution Approach 2:
The system performs preliminary assessment of channel conditions before selecting a demodulator. By evaluating channel state information in advance, the system can determine whether a simple demodulator will suffice, preventing performance degradation before it occurs while avoiding unnecessary use of complex demodulators that would increase power consumption
3Use of energy by moving object
If dynamic demodulator selection is implemented, then power savings are achieved, but system complexity increases
Solution Approach 1:
The patent segments the demodulation function into multiple discrete demodulator options with different complexity levels. Instead of implementing a single complex adaptive demodulator, the system divides the functionality into separate modular demodulator components (simple and complex), allowing selection based on conditions. This segmentation reduces the complexity burden on any single component while enabling power-saving through selection
Data Source
AI summary
A method for wireless communication by a receiving device includes predicting with an artificial neural network, at each data block of a set of data blocks, a least complex demodulator that will achieve a goal. The predicting is based on features of a data block expected to be received at the receiving device. The method also includes dynamically selecting the least complex demodulator, from a set of demodulators with different levels of complexity, based on the features of the data block expected to be received. The method further includes demodulating the data block with the selected demodulator for the data block.