Link-Based QoS Map for V2V Latency Prediction
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Solution Overview
Problem
Current communication systems for V2V and V2X applications face challenges in predicting end-to-end latency and maintaining optimized quality of service (QoS) due to limited channel estimation data and the absence of link-oriented QoS prediction, which affects safety-critical applications like high-density platooning.
Innovation Solution
The method involves creating a link-based QoS map that is updated and extended by combining knowledge from multiple communication partners, using data fusion to improve prediction accuracy, and deciding on multi-RAT communication link usage based on predicted future channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If link-based QoS prediction is implemented for V2V communication, then the accuracy of QoS prediction is improved, but the complexity of the communication system increases
Solution Approach 1:
The system performs preliminary actions by creating and maintaining link-based QoS maps that predict future QoS conditions before actual communication occurs. These maps are built using historical measurement data and are updated continuously, allowing the system to anticipate channel conditions and make proactive communication decisions rather than reacting to current conditions alone
Solution Approach 2:
The patent introduces link-based QoS maps as an intermediary data structure that mediates between raw channel measurements and communication decisions. These maps serve as a buffer that stores processed QoS information, enabling the system to make informed decisions without directly processing complex real-time measurements for every communication event
2Reliability
If QoS maps are updated in real-time for moving communication partners, then the reliability of communication prediction is improved, but the loss of time for data processing increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing QoS map data during periods when communication conditions are stable or during idle time slots. Historical measurement data is processed in advance to build predictive models, so that when real-time decisions are needed, the system can query pre-computed maps rather than performing full calculations under time pressure
Solution Approach 2:
The patent applies partial action by updating QoS maps selectively rather than continuously for all possible communication links. The system focuses processing on relevant links and uses approximation techniques where full precision is not required, balancing the need for reliable predictions with the constraint of available processing time
3Measurement precision
If data fusion is performed to combine knowledge from multiple communication partners, then the measurement precision of QoS prediction is improved, but the device complexity increases
Solution Approach 1:
The system merges information from multiple communication partners by combining their individual QoS measurements and observations into a unified link-based QoS map. This consolidation allows the system to leverage collective knowledge from multiple sources, improving prediction accuracy through aggregated data while managing complexity through systematic integration methods
Data Source
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AI summary
The proposal introduces the idea of the creation of a link-based QoS map. In one embodiment the proposal concerns a method for predicting a quality of service for a communication between at least two moving communication partners (PL, PV1 - PV4), wherein the prediction is based on at least one link-based quality of service map, that is updated in a link-based QoS map generation process. Since classical radio maps are node-based, they are not appropriate for estimating an end-to-end latency for the communication link. The end-to-end latency however is needed when it comes to the question if safety critical messages can be exchanged over this communication link. The proposal can be used advantageously in a high density platooning application for cooperative driving. In this application a drop in the communication performance, in particular in an end-to-end latency, would affect its safe running. With the solution according to the proposal it is however possible to adapt the inter vehicle distance (d) in dependence of the prediction of the link-based QoS.