V2X QoS Map Prediction for Teleoperated Driving Reliability
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Solution Overview
Problem
Current mobile communication technologies, such as LTE-V and 5G PC5, face challenges in maintaining consistent Quality of Service (QoS) for time-critical applications like tele-operated driving due to variations in latency, throughput, and packet error rates, especially in V2V and V2X communications, which are not guaranteed and can affect the reliability of safety-related applications.
Innovation Solution
A method and apparatus that collect service quality reporting messages from moving communication partners, generate quality of service maps, and calculate predicted QoS profiles based on planned trajectories to determine if high QoS demands can be met through direct communication or relaying, allowing seamless switching between direct and relayed communication to ensure required service levels are maintained.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If direct communication between base station and moving communication partner is used, then communication simplicity is maintained, but Quality of Service cannot be guaranteed in dynamic vehicular environments
Solution Approach 1:
The system performs preliminary QoS prediction based on planned trajectories before communication occurs. The base station calculates predicted QoS profiles for different communication paths (direct vs. relayed) in advance, allowing it to proactively select the appropriate communication mode before QoS degradation occurs, rather than reacting after the problem arises.
Solution Approach 2:
The patent introduces intermediate relay nodes (other moving communication partners) that can mediate communication between the base station and the moving communication partner. When direct communication cannot guarantee QoS, the system uses these intermediate nodes to relay messages, thereby ensuring service quality without requiring complex direct communication management.
2Reliability
If relaying communication is used to ensure QoS, then service reliability improves, but communication path complexity increases
Solution Approach 1:
The system pre-calculates QoS profiles for potential relay paths based on planned trajectories before communication needs arise. This allows the base station to have multiple pre-evaluated communication paths ready, selecting the optimal one without real-time complex calculations when communication is needed.
Solution Approach 2:
The communication path selection is dynamic and adapts to changing conditions. The system continuously updates QoS predictions based on actual trajectories and environmental changes, allowing the communication path to dynamically switch between direct and relayed modes based on current QoS requirements rather than being fixed.
3Reliability
If QoS prediction based on planned trajectories is implemented, then future QoS can be ensured, but information collection and processing requirements increase
Solution Approach 1:
The system extracts only the essential information needed for QoS prediction from the available data. Instead of processing all possible communication parameters, it focuses on planned trajectories and historical QoS data, extracting the key factors that most significantly impact future QoS while ignoring less relevant information.
Solution Approach 2:
The system collects and processes trajectory and QoS data in advance to build prediction models before communication occurs. By performing data collection and preliminary processing beforehand, the system reduces the real-time data processing burden while maintaining accurate QoS predictions.
Data Source
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AI summary
The invention concerns an innovation in regard to vehicle-to-everything communication (V2X). The invention concerns a method for managing a communication between a base station (210) of a cellular mobile communication system and at least one first moving communication partner (V1). This method comprises a step of collecting service quality reporting messages from a plurality of moving communication partners (V1 - V3), registered in the communication cell managed by said base station (210), wherein said step of collecting service quality reporting messages comprises a step of collecting service quality reporting messages for direct communications between two of said plurality of moving communication partners (V3, V1) and further comprises a step of generating link-based quality of service maps for the communications between the base station (210) and said moving communication partners (V1 - V3), as well as for the direct communications between two of said moving communication partners (V3, V1). The method also comprises a step of predicting the quality of service for a communication between said base station (210) and at least one moving communication partner (V1) based on said generated link-based quality of service maps (QoS) map. The extension of the QoS map generation to direct communication links between the moving communication partners allows for an improvement of the service quality for a communication between base station (210) and a moving communication partner (V1). This is particularly helpful for applications with high demanding QoS requirements, such as the application of teleoperated driving (ToD) where video and audio plus a control stream needs to be communicated.