WDS Control Circuit Optimizing RF Coverage via Correction Factors
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Solution Overview
Problem
Existing wireless distribution systems (WDS) face challenges in accurately predicting radio frequency (RF) coverage in remote unit areas due to signal obstructions like walls and furniture, leading to suboptimal performance and capacity.
Innovation Solution
A control circuit is introduced in the WDS to determine prediction deviations and correction factors for RF signals among selected remote unit groups, allowing for adjustments to improve RF coverage and capacity by accounting for actual signal obstructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If predicted remote unit coverage areas are used for WDS deployment, then initial system setup is simplified, but RF coverage accuracy deteriorates due to unaccounted signal obstructions
Solution Approach 1:
The system performs preliminary RF signal measurements and predictions during the design phase to establish initial correction factors before actual deployment. This allows the WDS to be configured with pre-calculated correction data that accounts for predicted signal obstructions, thereby maintaining ease of deployment while improving coverage accuracy.
Solution Approach 2:
The system implements a feedback mechanism where actual RF signal measurements taken after deployment are compared with predicted values. The differences (deviations) are used to generate correction factors that are applied to optimize remote unit configurations, thereby continuously improving RF coverage accuracy based on real-world performance data.
2Measurement precision
If correction factors are determined for all remote units, then RF coverage optimization is maximized, but system complexity and measurement time increase
Solution Approach 1:
The system divides the WDS into multiple remote unit groups and determines correction factors for each group separately rather than for all units uniformly. This segmentation allows for localized optimization of RF coverage while reducing the overall complexity of system configuration and measurement procedures.
Solution Approach 2:
The system determines correction factors for selected remote unit groups rather than attempting to optimize every single remote unit. This partial action approach achieves sufficient RF coverage optimization for the most critical areas while avoiding the excessive complexity and time required to measure and adjust every individual unit.
3Measurement precision
If RF signal measurements are taken in real-world conditions, then coverage accuracy improves, but measurement and optimization time increases
Solution Approach 1:
The system performs preliminary RF measurements and generates correction factors during the design phase before actual deployment. This advance preparation reduces the time required during actual deployment while maintaining measurement accuracy, as the bulk of the measurement and calculation work is completed beforehand.
Solution Approach 2:
The system performs RF measurements and determines correction factors for selected remote unit groups rather than all units. This partial measurement approach achieves adequate coverage optimization while significantly reducing the total measurement and optimization time required for full system deployment.
Data Source
AI summary
Embodiments of the disclosure relate to optimizing radio frequency (RF) coverage in remote unit coverage areas in a wireless distribution system (WDS). A control circuit is configured to selectively determine at least one selected remote unit group comprising two or more remote units selected from a plurality of remote units in the WDS. A first remote unit in the selected remote unit group is configured to transmit an RF signal. The control circuit is configured to determine a first prediction deviation and a second prediction deviation, respectively. The control circuit determines correction factor(s) for selected correction point(s) based on the first prediction deviation and the second prediction deviation. The control circuit optimizes RF coverage in coverage area(s) based on the determined correction factor(s), thus improving RF performance and capacity of the WDS.