Vehicle Control QoE Management Under V2X Server Overload
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Solution Overview
Problem
Connected vehicles face challenges in maintaining quality of experience (QoE) due to timely and accurate information delivery from edge and cloud servers, especially when servers are overloaded or compromised, leading to QoE failures that can impact road safety and system performance.
Innovation Solution
A management system and client that cooperate to manage QoE by receiving V2X messages, adjusting vehicle control system operations, and implementing decisions that optimize routing and resource allocation to minimize workload and improve QoE, including strategies like detouring, modifying navigation routes, and selecting vehicles to provide services based on priority factors to reduce safety risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle control system requests services from cloud or edge servers, then the service functionality is provided, but the servers may become overloaded leading to QoE failures
Solution Approach 1:
The system dynamically adjusts vehicle control system operations based on real-time QoE status and workload levels detected from V2X messages. The management decision modifies operations to minimize workload on servers when QoE failures are detected, while allowing full functionality when servers are healthy, creating a dynamic adaptation to server capacity conditions
Solution Approach 2:
The system implements a feedback loop where V2X messages provide information about server workload and QoE status, which then triggers management decisions to adjust vehicle control operations. This closed-loop feedback mechanism allows the system to respond to server conditions and prevent QoE failures by modulating service requests based on detected workload levels
2Reliability
If the system detours from geographic locations with QoE failures, then QoE level is improved, but the navigation route efficiency decreases
Solution Approach 1:
The system changes the routing parameter (navigation route) dynamically based on QoE status in different geographic locations. When QoE failures are detected in a location, the system modifies the route parameter to detour around that area, while maintaining optimal routing when QoE is satisfactory, thus adapting the route parameter to QoE conditions
3Productivity
If the vehicle control system operates in high workload modes, then more services are provided, but the QoE level decreases due to server overload
Solution Approach 1:
The system applies partial action by selectively providing services based on server capacity. When workload is high and QoE failures are detected, the system reduces service provision to minimal necessary operations. When server capacity is adequate, the system provides full service functionality, thus applying the degree of service action appropriate to current server conditions
Data Source
AI summary
The disclosure includes embodiments for managing a Quality of Experience (QoE) level experienced by a connected vehicle. In some embodiments, a method for the connected vehicle includes receiving a Vehicle-to-Everything (V2X) message that includes a management decision for the connected vehicle. The management decision is made based at least on a QoE status in a geographic location of the connected vehicle. The method includes modifying an operation of a vehicle control system of the connected vehicle to implement the management decision so that a QoE level experienced by the connected vehicle is improved.