Radio Receiver State Variable Optimization
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Solution Overview
Problem
Radio frequency communication devices are often designed for worst-case conditions, which occur rarely, leading to suboptimal performance in varying RF environments and device-specific parameter variations, resulting in reduced talk time, standby time, and quality of service.
Innovation Solution
A method involving real-time measurement and iterative adjustment of state variables within a radio receiver to optimize performance, using statistical weighting to refine settings based on actual operational conditions, and sharing optimized settings across devices in similar environments through a base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radio is designed to meet specifications in worst possible conditions, then reliability is improved, but performance in normal conditions deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of state variables based on measured RF environment conditions. The radio transitions from static worst-case design parameters to dynamic parameters that adapt to actual operating conditions, allowing optimal performance in normal conditions while maintaining reliability in worst-case scenarios through real-time measurement and adjustment.
Solution Approach 2:
The patent changes physical parameters (state variables) of the radio based on measured environmental conditions. By measuring RF environment characteristics and iteratively adjusting state variables within prescribed ranges, the system transforms fixed design parameters into adaptive parameters that optimize performance for specific environmental conditions.
2Productivity
If state variables are adjusted for optimal performance, then productivity is improved, but device complexity increases
Solution Approach 1:
The radio performs self-optimization by automatically measuring its own RF environment conditions and iteratively adjusting its state variables without external intervention. The system uses its built-in measurement capabilities to evaluate performance and autonomously modifies operational parameters, eliminating the need for complex external optimization systems.
Solution Approach 2:
The patent implements a feedback mechanism where the radio measures performance metrics in the RF environment, compares actual performance against target specifications, and uses this feedback to iteratively adjust state variables. This closed-loop feedback system enables automatic optimization while maintaining manageable complexity through systematic adjustment procedures.
3Adaptability or versatility
If statistical weighting is applied to state variables, then adaptability is improved, but measurement precision requirements increase
Solution Approach 1:
The patent applies statistical weighting to identify and prioritize the most significant state variables for adjustment, rather than attempting to optimize all parameters equally. By focusing measurement and adjustment efforts on the most influential variables (those with highest statistical weighting), the system achieves effective adaptability while reducing the overall measurement precision burden across all parameters.
Data Source
AI summary
A method involving receiving a real time communication signal at a radio receiver involves measuring at least one performance value associated with the radio receiver with an installed set of state variables; at a processor forming a part of the radio receiver: iteratively changing at least one of the state variables within a prescribed range in order to identify an improved value of the state variable that provides an improvement to the at least one performance value; storing the improved value of the state variable; applying a statistical weighting to the improved value and storing the statistical weighting; and adjusting the prescribed range of the state variable based upon the statistical weighting to provide a revised prescribed range that is statistically likely to contain state variable that provides improvement in the at least one performance value. This abstract is not to be considered limiting.