Autonomous 3D User Equipment Positioning for Signal Optimization

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Solution Overview

Problem

Existing technologies face challenges in optimizing the three-dimensional positioning of user equipment for enhanced signal reception, particularly in testing environments, without requiring manual intervention.

Innovation Solution

A system utilizing a rotary stage device controlled by a microcontroller, within a radio frequency shielded structure, employs a gradient ascent algorithm to autonomously adjust the position of user equipment in three dimensions for optimal signal reception.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual positioning of user equipment is used in testing environments, then setup simplicity is maintained, but signal reception optimization and testing efficiency deteriorate

Engineering Contradiction:

Improvetesting efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs self-positioning of user equipment automatically through algorithmic control. The microcontroller executes optimization algorithms that autonomously adjust the rotary stage device to find optimal signal reception positions without requiring manual operator intervention, thereby improving testing efficiency while maintaining manageable system complexity through automated self-service operation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback control by continuously monitoring signal strength measurements and using this information to iteratively adjust the position of user equipment. The microcontroller receives signal data, processes it through optimization algorithms, and automatically adjusts the rotary stage device based on the feedback loop, achieving optimal signal reception while streamlining the testing process

Inventive Principle:

Principle #23Feedback

2Reliability

If automated three-dimensional positioning system is implemented, then signal reception optimization improves, but device complexity increases

Engineering Contradiction:

Improvesignal reception qualityVSAvoidpositioning system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system replaces complex mechanical positioning adjustments with algorithmic control. Instead of requiring complex mechanical mechanisms for precise three-dimensional positioning, the invention uses a microcontroller executing optimization algorithms to control a rotary stage device, substituting computational logic for mechanical complexity while maintaining reliable signal reception optimization

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The rotary stage device serves multiple functions: it holds user equipment, enables three-dimensional positioning through rotational movement, and responds to algorithmic control signals. This multi-functionality reduces the need for separate specialized components, thereby improving signal reception quality without proportionally increasing device complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If gradient ascent algorithm is used for position optimization, then positioning precision improves, but computational requirements and processing time increase

Engineering Contradiction:

Improveposition optimization precisionVSAvoidoptimization processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies partial optimization by using the gradient ascent algorithm to find locally optimal positions rather than exhaustively searching all possible positions. The microcontroller executes the algorithm to achieve sufficient positioning precision for testing purposes without requiring complete global optimization, thereby reducing processing time while maintaining adequate positioning accuracy

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary positioning adjustments before executing the full gradient ascent algorithm. The microcontroller initially positions user equipment based on signal strength measurements, then applies the optimization algorithm to refine the position. This preliminary action reduces the computational burden and processing time required for achieving precise optimization

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12463735B2System and method for autonomous three-dimensional position and signal optimization of user equipment in testing environments

Publication Date: 2025.11.04 T MOBILE INNOVATIONS LLC

AI summary

Aspects herein provides a system, method, and media for measuring real-time signal data of user equipment (UE) held by a 3D rotary stage device placed within a signal shielded box, into which signals are piped from an antenna. The signal data is analyzed using a gradient ascent algorithm. A microcontroller interprets and uses the algorithm's output generate motor commands that are communicated to the 3D rotary stage device to rotate the UE. Through this process, the UE is incrementally and interactively rotated in to optimize the signal data for subsequent UE testing, in an automated manner and without requiring human interaction or intervention.