Object Message Scheduling for Vehicle Channel Load Control
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Solution Overview
Problem
Existing vehicular communication systems face challenges in efficiently managing the generation and transmission of object messages to optimize channel load while ensuring reliable information sharing about the dynamic road environment.
Innovation Solution
A method for generating and managing object messages with adaptive message generation rates and optimized data sizes based on relevancy weights and maximum data rates, segmenting information into message items, and utilizing multi-channel communication to balance frequency and size for efficient transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object messages are transmitted cyclically with high generation rates to ensure reliable information sharing about dynamic road environment, then the reliability of information sharing is improved, but the channel load increases
Solution Approach 1:
The message generation rate is made dynamic rather than fixed. The system adapts the generation rate based on current channel conditions and the actual need for information updates. When channel load is high, the generation rate is reduced; when channel conditions are good and environmental changes are frequent, the rate increases. This dynamic adjustment resolves the contradiction by making the system flexible enough to maintain reliability when needed while avoiding excessive channel load during stable conditions.
Solution Approach 2:
The system changes the parameter of message generation rate based on relevancy weights of different message items. By calculating relevancy weights for different objects and message types, the system prioritizes transmission of high-relevancy information while reducing or skipping low-relevancy transmissions. This parameter change approach ensures that critical safety information is reliably transmitted while non-critical information consumes minimal channel resources, thus resolving the contradiction between reliability and channel load.
2Reliability
If message data size is increased to include more perceived objects and improve surroundings awareness, then the reliability of environment perception is improved, but the transmission time and channel occupancy increase
Solution Approach 1:
The system extracts and transmits only the most relevant information from the complete set of perceived objects. By calculating relevancy weights for different message items based on factors like object type, distance, and dynamic state, the system selectively includes only high-relevancy objects in each message transmission. This extraction approach ensures that critical safety information is transmitted quickly while non-critical information is omitted or deferred, resolving the contradiction between comprehensive awareness and transmission time.
Solution Approach 2:
Instead of transmitting complete information about all perceived objects in every message, the system uses partial action by transmitting only a subset of the most relevant objects. The relevancy weight calculation determines which objects warrant inclusion. This partial transmission approach maintains sufficient surroundings awareness for safety-critical decisions while significantly reducing message size and transmission time compared to transmitting all detected objects.
3Reliability
If message generation frequency is increased to report changes in dynamic road environment more frequently, then the reliability of real-time information is improved, but the channel load increases
Solution Approach 1:
The message generation frequency is dynamically adjusted based on the detected level of environmental change and channel conditions. When significant changes are detected in the road environment (e.g., new objects, rapid movements), the system increases generation frequency to ensure real-time awareness. When the environment is stable, the frequency is reduced to minimize channel load. This dynamic frequency adjustment resolves the contradiction by matching transmission activity to actual information needs.
Solution Approach 2:
The system changes the message generation frequency parameter based on relevancy weights and environmental dynamics. By continuously evaluating the importance and change rate of different message items, the system adjusts the overall generation frequency. High-relevancy changing objects trigger more frequent transmissions, while stable low-relevancy scenarios result in reduced frequency. This parameter change strategy ensures real-time information reliability for critical events while maintaining low channel load during normal conditions.
Data Source
AI summary
A method for providing an object message including selected information about a surrounding region of a participant. The method including: acquiring the selected information about the surrounding region, comprising perceived objects and/or perceived regions, whereby the selected information are segmented into at least a first message item and a second message item; receiving or estimating a maximum data rate for transmitting the object message; determining an optimized data size and an optimized message generation period of the object message; providing the object message with the optimized message generation period and the optimized data size to be sent via the communication network. A message generation device, a participant including the message generation device, a computer program product, and a computer-readable data carrier are also described.