Vehicle Radio Resource Allocation for Latency Control
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Solution Overview
Problem
Current radio access networks often fail to provide consistently low latency and high data rates required for advanced autonomous driving functionalities, leading to potential communication delays and data bottlenecks, especially in environments with high vehicle density or adverse conditions.
Innovation Solution
A method where vehicles dynamically request and allocate a minimum data rate and maximum latency from the radio access network based on operational context complexity, ensuring efficient data exchange with edge data centers while optimizing radio resource usage, using standardized protocols like LTE or IEEE 802.11, and adapting to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicles exchange large amounts of data with edge data centers via wireless connections, then autonomous driving functionalities are enabled, but communication delays and data bottlenecks occur due to radio access network capacity limitations
Solution Approach 1:
The system performs preliminary actions by predicting future data traffic requirements based on operational context and proactively allocating radio resources before the actual data exchange occurs. This prevents communication delays by ensuring resources are already reserved when data transmission is needed.
Solution Approach 2:
The patent implements dynamic resource allocation where the radio access network continuously adapts resource allocation based on changing operational contexts, vehicle densities, and traffic conditions. This dynamic adjustment optimizes both data exchange rates and latency by matching resource allocation to actual needs in real-time.
2Reliability
If more vehicles are located within the range of an access node, then network coverage is improved, but radio capacity is exceeded leading to communication delays
Solution Approach 1:
The system segments the radio access network into multiple cells or zones around access nodes, allowing independent resource management in each segment. This segmentation enables the network to handle higher vehicle densities by distributing resources across multiple segments rather than overwhelming a single access node.
Solution Approach 2:
The patent introduces edge data centers as intermediary nodes between vehicles and core network infrastructure. These intermediaries buffer and pre-process data locally, reducing the burden on radio access networks and preventing capacity exhaustion even when many vehicles are connected.
3Reliability
If radio resources are allocated to ensure low latency and high data rate, then autonomous driving performance is improved, but unnecessary radio resources are consumed when not needed
Solution Approach 1:
The system dynamically changes radio resource allocation parameters based on operational context. When autonomous driving functions are active and require high reliability, resources are allocated accordingly. When these functions are inactive or operating in less critical modes, resource allocation is reduced, avoiding unnecessary energy consumption.
Solution Approach 2:
The patent implements feedback mechanisms where vehicles report their actual data exchange requirements and operational status to the radio access network. This feedback enables the network to adjust resource allocation to match actual needs, preventing both over-allocation (waste) and under-allocation (performance degradation).
Data Source
Figure 1~2
AI summary
A method for operating a vehicle wherein a vehicle is operated using a wireless connection to a radio access network; and a computer program product for operating a vehicle.