Reconfigurable Antenna Training Control System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile information handling systems face challenges in maintaining optimal signal quality due to varying channel conditions, requiring dynamic adjustment of reconfigurable antennas, but existing training methods either disrupt data transmission or are inefficient in determining the best antenna configuration.
Innovation Solution
A control system that performs routine training sessions to identify the optimal antenna configuration by testing multiple patterns, using historical signal quality metrics to allocate training time based on the likelihood of each pattern's performance, allowing for continuous data transmission while minimizing suboptimal signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional training methods are used to determine optimal antenna configuration, then signal quality can be optimized, but data transmission is disrupted
Solution Approach 1:
The patent applies partial action by performing training on only a subset of antenna ports at a time rather than all ports simultaneously. The method divides the antenna training into multiple phases where different groups of antenna ports are trained sequentially, allowing data transmission to continue on ports not currently being trained. This resolves the contradiction by obtaining sufficient training information for signal quality optimization without completely disrupting data transmission across all antenna ports.
2Measurement precision
If comprehensive antenna pattern testing is performed, then optimal configuration is accurately identified, but training time increases
Solution Approach 1:
The patent segments the antenna training process by dividing antenna ports into multiple groups and performing training on each group separately in different time phases. Instead of testing all antenna patterns simultaneously across all ports, the method segments the training into manageable portions, allowing parallel data transmission on non-training ports while maintaining accurate configuration identification through systematic testing of each segment.
Solution Approach 2:
The patent applies preliminary action by performing channel estimation and training on antenna ports before they are fully activated for data transmission. The method prepares the antenna configurations in advance through training sequences, so that when data transmission begins, the optimal configuration is already identified or can be quickly determined. This reduces the time penalty of comprehensive testing by spreading the training activity before and during transmission phases.
3Reliability
If antenna reconfiguration is performed frequently to adapt to changing conditions, then signal quality is maintained, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where channel quality indicators are continuously monitored and used to determine when antenna reconfiguration is necessary. The system compares current signal quality against thresholds and only triggers reconfiguration when degradation is detected, rather than performing frequent blind reconfigurations. This feedback-based approach maintains signal quality by adapting to actual channel conditions while reducing unnecessary reconfiguration events that would increase system complexity.
Data Source
AI summary
An information handling system operating a reconfigurable antenna training control system may comprise a configurable antenna system in one of a plurality of available configurations transceiving a radio frequency signal, and a radio frequency system measuring performance metrics for the signal transceived according to each available configuration over a training time period preset based on historical performance and stability of each available configuration. An antenna front end system may execute instructions of the reconfigurable antenna training control system to determine a weighted performance metric based on the measured performance metrics and on historical performance metrics for each candidate configuration, to compare the weighted performance metrics for each configuration, and to identify one of the configurations having a highest weighted performance metric as an optimal configuration. The configurable antenna may then establish a wireless link using the optimal configuration.