Vehicle Network Proxy Modeling for User Experience Adjustment

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing vehicle-based communication systems face challenges in accurately evaluating user experience due to low direct feedback rates from users and the inability to identify factors affecting user satisfaction, making it difficult to adapt the network to meet user needs and preferences.

Innovation Solution

A proxy model is generated using machine learning techniques to analyze operational parameters, such as hardware components, network state, user behavior, and service parameters, to quantify user experience without direct feedback, enabling adjustments to improve network quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If direct user feedback surveys are used to evaluate user experience, then user satisfaction information can be obtained, but response rates are low and key factors affecting satisfaction are not identified

Engineering Contradiction:

Improveuser experience informationVSAvoidfeedback collection efficiency

Core Design Contradiction:

Loss of informationVSProductivity

Solution Approach 1:

The patent introduces a proxy model as an intermediary that indirectly measures user experience by analyzing operational parameters (network quality, device performance, content delivery metrics) instead of directly surveying users. This mediator translates objective system metrics into user experience assessments, overcoming the low response rate problem while capturing comprehensive experience data.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical survey system (direct user questioning) with an automated computational system that uses machine learning models to infer user experience from operational data. This substitution eliminates the need for user participation in feedback collection while maintaining or improving information quality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If system provider optimizes network parameters based on their own metrics, then network performance from provider perspective is improved, but user experience may not be optimized

Engineering Contradiction:

Improvenetwork performanceVSAvoiduser experience measurement

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent changes the measurement parameters from provider-centric metrics (bandwidth utilization, network throughput) to user-centric metrics (perceived quality, satisfaction levels) by using the proxy model. This parameter transformation aligns optimization goals with actual user experience while maintaining network performance considerations.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If comprehensive operational parameters are collected to evaluate user experience, then accurate user experience measurement is achieved, but system complexity increases

Engineering Contradiction:

Improveuser experience measurement accuracyVSAvoiddata collection and processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and focuses on the most critical operational parameters that have the strongest correlation with user experience, rather than collecting all possible data. The proxy model identifies and processes only the essential subset of parameters (network quality, device performance, content metrics), reducing system complexity while maintaining measurement accuracy.

Inventive Principle:

Principle #2Taking out (Extraction)

4Reliability

If real-time adjustments to network hardware or software are made based on user experience, then user satisfaction is improved, but system control complexity increases

Engineering Contradiction:

Improveuser satisfactionVSAvoidsystem control mechanism

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a closed-loop feedback system where the proxy model continuously monitors operational parameters, assesses user experience, and triggers automatic adjustments to network configuration. This feedback mechanism enables real-time optimization of user satisfaction while using automated rules and algorithms to manage control complexity.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-adjustment based on the proxy model's assessments, automatically modifying network parameters without requiring manual intervention. This self-service capability improves user satisfaction through real-time optimization while reducing the operational burden on system operators.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12621221B2Systems and methods for applying a proxy model of network quality to adjust network hardware or software

Publication Date: 2026.05.05 GOGO BUSINESS AVIATION LLC

AI summary

A machine learning-based proxy model may generate measurements of quality of user experience in a vehicle-based communication network in the absence of direct feedback from the users regarding the user experience. Once generated, the proxy model may be applied to observed operational parameters of the on-board network to quantify the user experience for any user in any given instance. User experience measurements (e.g., trends identified therein) may be utilized to identify and implement adjustments to hardware, firmware, software, and/or service procedures associated with implementation of the on-board network. These adjustments may be implemented between transits of the vehicle, or in some cases, during transit of the vehicle to improve the user experience over the duration of use of the vehicle-based communication network.