Radiation Pattern Recognition for Wireless Antenna Optimization
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Solution Overview
Problem
Current wireless communication devices face challenges in optimizing antenna performance across varying usage modes and environments, leading to suboptimal signal selectivity and directivity.
Innovation Solution
A radiation pattern recognition scheme is implemented in wireless UE devices, which identifies the current usage mode through multivariate situational data and matches it with benchmark radiation patterns to optimize antenna performance, enhancing signal selectivity and directivity by adjusting antenna settings, modulation, and power levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If antenna settings are optimized for one usage mode, then signal selectivity and directivity are improved for that mode, but performance deteriorates in other usage modes
Solution Approach 1:
The patent implements dynamic antenna configuration by continuously monitoring usage mode through multivariate situational data and adjusting antenna settings in real-time. The system transitions from static, mode-specific optimization to dynamic adaptation, where antenna parameters are automatically adjusted based on current usage conditions, resolving the contradiction between optimized performance in one mode and adaptability across multiple modes.
Solution Approach 2:
The system changes antenna operational parameters (such as radiation patterns, power levels, and configuration settings) based on detected usage modes. By matching current usage mode with benchmark radiation patterns and adjusting parameters accordingly, the system achieves optimal signal selectivity and directivity for each specific usage scenario while maintaining versatility across different modes.
2Reliability
If antenna performance is optimized through complex radiation pattern recognition, then signal quality improves, but device complexity increases
Solution Approach 1:
The patent pre-establishes benchmark radiation patterns for multiple usage modes before actual operation. During runtime, the system only needs to match current situational data against these pre-computed benchmarks and select the best match, rather than performing complex real-time radiation pattern calculations. This preliminary preparation significantly reduces computational complexity while maintaining high signal quality.
Solution Approach 2:
The system uses pre-measured benchmark radiation patterns as reference copies for different usage modes. Instead of calculating unique radiation patterns for each situation, the system creates matches between current conditions and stored benchmark patterns, simplifying the complexity by using replicated reference data rather than performing complex real-time computations.
Data Source
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AI summary
A radiation pattern recognition system and method for a wireless user equipment (UE) device wherein a set of benchmark radiation patterns are matched based on the wireless UE device' s usage mode. In one aspect, the wireless UE device includes one or more antennas adapted for radio communication with a telecommunications network. A memory is provided including a database of benchmark radiation patterns for each of the one or more antennas in one or more usage modes associated with the wireless UE device. A processor is configured to execute an antenna application process for optimizing performance of the wireless UE device based at least in part upon using the matched set of benchmark radiation patterns.