Autonomous RF Antenna Repositioning for Obstruction Avoidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication between user equipment and radio frequency equipment is often degraded by obstructions in the environment, leading to high latency, lost traffic, or loss of connection due to suboptimal positioning and alignment of RF equipment.
Innovation Solution
The automated positioning and tilt adjustment of radio frequency equipment in three-dimensional space, using tracks, drones, or other mobility mechanisms, based on environmental mapping and obstruction detection, to maximize signal quality and RF metrics by identifying and avoiding obstructions such as objects, walls, and shelves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RF equipment is positioned in fixed locations, then installation is simple and device complexity is low, but signal quality is degraded by obstructions and reliability is poor
Solution Approach 1:
The patent implements dynamic positioning of RF equipment using movable platforms (drones, robots, or vehicles) that can change location and orientation in three-dimensional space. The RF equipment transitions from static fixed mounting to dynamic repositioning, allowing the system to adapt to environmental obstructions and maintain optimal signal quality by continuously adjusting position based on detected conditions.
Solution Approach 2:
The patent introduces an intermediary control system that includes processors and sensors for detecting obstructions and calculating optimal positioning. This intermediary layer between the RF equipment and the environment enables automated decision-making about position and orientation adjustments, resolving the contradiction by adding intelligence rather than direct mechanical complexity.
2Adaptability or versatility
If RF equipment uses fixed positioning, then ease of operation is high and device complexity is low, but adaptability to environmental changes is poor
Solution Approach 1:
The patent implements self-service through automated environmental sensing and autonomous positioning control. The system uses sensors to detect obstructions and automatically calculates and executes positioning adjustments without human intervention. The RF equipment self-adapts to environmental changes by autonomously repositioning itself, eliminating the need for manual operation while achieving high environmental adaptability.
Solution Approach 2:
The patent employs feedback mechanisms where sensors continuously monitor the environment for obstructions and signal quality, and this information feeds back to the control system which adjusts positioning accordingly. This closed-loop feedback enables the system to adapt to environmental changes automatically, maintaining optimal performance without requiring complex manual operation.
3Productivity
If RF equipment is manually repositioned, then adaptability to obstructions is improved, but loss of time increases and productivity decreases
Solution Approach 1:
The patent applies preliminary action by pre-calculating optimal positions using environmental models and obstruction detection before actual repositioning is needed. The system proactively identifies potential signal degradation areas and positions RF equipment in advance to prevent rather than react to quality issues, reducing both repositioning time and maintaining high productivity.
Solution Approach 2:
The patent replaces manual mechanical repositioning with automated electronic control systems. Processors calculate optimal positions and electronically control motors or actuators to move the RF equipment, substituting human-operated mechanical systems with automated electromechanical systems that operate faster and more efficiently, thereby reducing time loss and increasing productivity.
Data Source
AI summary
A system described herein may provide a technique for the generation of one or more models indicating positions and/or attributes of objects within an environment, such as a warehouse, a facility, a data center, etc. The models may be generated by measuring radio frequency (“RF”) metrics or other metrics within the environment over time. The environment may include mobile antenna apparatuses providing wireless coverage to wireless devices within the environment. The mobile antenna apparatuses may be moved within the environment based on the positions of objects within the environment (e.g., as indicated by the one or more models) and the positions of one or more wireless devices that connect to one or more of the mobile antenna apparatuses.