Multi-Connectivity Infrastructure Neural Network Path Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multi-connectivity communication systems lack an efficient method to dynamically determine and apply optimal configurations for connection paths between devices and networks, leading to suboptimal data throughput and quality of service (QoS) due to unpredictable connection quality and range limitations.
Innovation Solution
A method and system that proactively determine properties of possible connection paths using neural networks and apply configurations based on predicted properties, allowing for prioritization of devices and applications, and enabling direct or cooperative connections using different or shared frequency ranges, with temporal control to maximize QoS and minimize channel requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-connectivity is implemented to increase data throughput and prevent quality deterioration, then communication quality improves, but system complexity increases due to the need to manage multiple connection paths and configurations
Solution Approach 1:
The system performs preliminary determination of connection path properties (state, link correlations, QoS metrics) for a future time range before actual communication occurs. This allows the system to pre-identify optimal connection paths and configurations, reducing the complexity of real-time decision-making while ensuring reliable communication quality through proactive configuration selection.
2Measurement precision
If connection path properties are determined for a future time range to enable proactive configuration, then configuration accuracy improves, but computational requirements increase due to prediction processing
Solution Approach 1:
The system determines connection path properties in advance for a future time range, allowing configurations to be optimized based on predicted rather than current conditions. This preliminary determination enables more accurate configuration selection that anticipates future network conditions, improving measurement precision while the computational burden is distributed over time rather than concentrated at moment of execution.
3Reliability
If multiple connection paths are monitored and evaluated to select optimal configurations, then quality of service improves, but processing time increases due to evaluation of multiple paths
Solution Approach 1:
The system evaluates and determines properties of multiple connection paths in advance for a future time range, rather than performing real-time evaluation at the moment of configuration need. This preliminary evaluation allows the system to select optimal configurations more quickly when execution time arrives, reducing processing time delay while maintaining comprehensive QoS optimization across multiple paths.
Data Source
AI summary
The disclosure relates to a method (200) and a system (130) for operating a multi-connectivity communications infrastructure (100) comprising at least two networks (A, B) and at least two devices (110, 110-1, 110-2) each having at least two communications modules (120, 120-1, 120-2, 120-3, 120-4), wherein a connection to a higher-order unit (130), in particular a central server, can be established via the communications modules (120, 120-1, 120-2, 120-3, 120-4) and the networks (A, B).