AI-Optimized RF Communication Device Power Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern RF communication devices, especially software-defined radios, face challenges in adapting to dynamically changing RF spectral environments, leading to sub-optimal power consumption and RF communication performance.
Innovation Solution
The integration of an RF spectral sensor and an artificial intelligence (AI) model within the RF communication device allows for dynamic setting of settable parameters in the RF circuitry, optimizing power consumption and RF communication performance in response to changing RF conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the RF communication device operates at maximum power to meet worst-case scenarios, then communication reliability is improved, but power consumption increases and battery life decreases
Solution Approach 1:
The patent implements dynamic operation of the RF communication device by continuously monitoring RF spectral conditions and adjusting operating parameters (power level, waveform, frequency) in real-time based on actual environmental conditions rather than maintaining fixed worst-case settings. This allows the device to operate at maximum power only when necessary while reducing power consumption during favorable conditions.
Solution Approach 2:
The system changes multiple operating parameters dynamically including transmitter power level, waveform type, and frequency based on RF spectral sensor data and AI model predictions. These parameter adjustments enable the device to optimize the balance between communication reliability and power consumption for each specific operational scenario.
2Reliability
If the RF communication device uses fixed worst-case configuration, then communication robustness is improved, but adaptability to changing RF spectral environment deteriorates
Solution Approach 1:
The patent transforms the fixed worst-case configuration into a dynamic system that continuously adapts to changing RF spectral conditions. The RF spectral sensor monitors environmental changes, the AI model predicts optimal settings, and the controller adjusts parameters in real-time, enabling the device to maintain robustness while adapting to varying conditions such as interference, noise, and atmospheric changes.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the RF spectral sensor continuously monitors the electromagnetic environment, feeds this information to the AI model, which then adjusts operating parameters accordingly. This feedback loop ensures the device maintains optimal performance and robustness while adapting to changing spectral conditions.
3Adaptability or versatility
If the RF communication device increases the number of waveforms and operational capabilities, then communication versatility is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent manages device complexity by dynamically selecting from multiple available waveforms and operational modes based on actual RF spectral conditions rather than maintaining all capabilities at full readiness. The AI model determines which waveforms and features are needed for current conditions, enabling versatility while managing complexity through intelligent resource allocation.
Solution Approach 2:
The system changes operational parameters including waveform selection, power level, and frequency based on RF spectral sensor data and AI model predictions. This parameter-based approach enables the device to access multiple communication capabilities and waveforms while managing complexity by activating only the necessary subset of features for each operational scenario.
4Weight of moving object
If the RF communication device operates in battery-powered mode with power constraints, then portability is improved, but operational time and performance under varying conditions are limited
Solution Approach 1:
The patent optimizes battery-powered operation by dynamically adjusting power consumption based on RF spectral conditions. The device monitors environmental factors and adjusts transmitter power, waveform selection, and other energy-consuming operations in real-time, extending battery life while maintaining adequate performance for the operational context.
Solution Approach 2:
The system changes power-related parameters including transmitter power level, operational mode, and waveform selection based on RF spectral conditions and battery status. These parameter adjustments enable the device to extend operational time under battery power while maintaining adequate communication performance for varying conditions.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A radio frequency (RF) communication device includes an RF spectral sensor that senses a dynamically changing RF spectral environment, and RF circuitry having at least one settable parameter. A controller dynamically sets the at least one settable parameter thereby affecting power consumption and RF communication performance by using an artificial intelligence (AI) model based upon the power consumption and the RF communication performance in the dynamically changing RF spectral environment.