Route Selection Using Predicted Network QoS Along the Path
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current navigation techniques fail to precisely anticipate changes in communication network quality of service (QoS) along a route, leading to inadequate connectivity for users, especially in automotive applications like autonomous driving, due to reliance on network coverage rather than specific performance indicators like latency and throughput.
Innovation Solution
A method that calculates and selects routes based on predicted communication network performance indicators, such as latency and throughput, to ensure the best QoS at future geographical positions, incorporating user-specific application needs and adapting network configurations dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current navigation techniques use network coverage as a criterion for route selection, then basic connectivity is ensured, but precision in anticipating QoS changes is insufficient
Solution Approach 1:
The patent applies preliminary action by predicting QoS parameters for future geographical positions before the communicating object actually reaches them. The system calculates predicted values of network performance indicators (latency, throughput, reliability) at future locations and times, allowing route selection to be based on anticipated QoS conditions rather than just current or historical data. This enables proactive route optimization before connectivity issues arise.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring actual QoS parameters and comparing them with predicted values. The system uses measured QoS data from the communicating object's current position to validate and refine predictions for future positions. This feedback loop allows the route determination system to adapt to actual network conditions and improve prediction accuracy over time, resolving the contradiction between precision and complexity.
2Adaptability or versatility
If route selection is based on static network coverage data, then calculation simplicity is maintained, but adaptability to dynamic QoS changes is reduced
Solution Approach 1:
The patent applies dynamics by transitioning from static network coverage data to dynamic QoS prediction. The system calculates time-dependent predicted values of network performance indicators for future geographical positions, allowing route selection to adapt to changing network conditions. The prediction mechanism updates QoS estimates based on the communicating object's movement and temporal variations in network performance, enabling real-time adaptability while maintaining computational efficiency through predictive modeling rather than continuous full-route reevaluation.
3Measurement precision
If network performance indicators are predicted for future positions, then route precision is improved, but computational load increases
Solution Approach 1:
The patent applies partial action by focusing QoS predictions on critical future positions along the route rather than calculating every possible parameter for every location. The system identifies key geographical positions where QoS prediction is most valuable for route selection and concentrates computational resources on those specific points. This selective prediction approach maintains high route selection precision while significantly reducing the overall computational load and energy consumption compared to comprehensive full-route analysis.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
The invention relates to a method for determining a route to be followed by a communicating object (CO), depending on the availability of a communication network on said route, comprising the following, at the level of said object: - from starting and ending points of said route, calculate (E2) the first and second geographical positions (PGd, PDa) associated respectively with the starting and ending points, - determine (E3) at least two routes between the positions (PGd, PDa), - send (E4) to a communication network performance indicator prediction device (DP), at least one geographical position (PG1i, PG2j) of said object contained between the positions (PGd, PDa), for said two routes, - receive (E10) from said device, in relation to said position (PG1i, PG2j), two predicted values of an indicator for respectively said at least two routes,- select (E12) the route corresponding to the highest predicted value.