Vehicle Communication Support System for Network Degradation
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Solution Overview
Problem
Mobile network operators face challenges in managing network degradation for connected vehicles, which can lead to reduced signal strength and communication failures, especially due to increased traffic and IoT device integration, necessitating efficient solutions to prioritize and maintain communication quality.
Innovation Solution
A vehicle communication support system that monitors network performance and instructs network components to adjust priorities, reroute traffic, and deploy mobile radio elements to mitigate network degradation by designating higher priority to moving vehicle traffic and using tunneling protocols and SDN controllers to optimize radio access networks and edge/core networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If network traffic is increased to support more IoT devices and connected vehicles, then network capacity and coverage are improved, but network degradation and communication failures increase
Solution Approach 1:
The system performs preliminary actions by predicting network degradation events before they occur using historical data and machine learning models. This allows the system to proactively reroute traffic, adjust network parameters, and prepare alternative communication paths before actual degradation happens, thereby maintaining reliability while supporting increased device connectivity.
Solution Approach 2:
The patent introduces intermediary components including edge computing nodes, SDN controllers, and mesh network relays that act as mediators between connected vehicles and the core network. These intermediaries buffer, route, and manage traffic flows, isolating vehicles from direct network degradation and maintaining communication reliability even as device quantity increases.
2Reliability
If network resources are allocated to prioritize moving vehicle traffic, then communication quality for vehicles is improved, but network complexity and resource management difficulty increase
Solution Approach 1:
The system implements dynamic resource allocation that automatically adjusts network parameters, bandwidth allocation, and routing paths based on real-time vehicle mobility patterns, traffic conditions, and network state. This dynamic approach prioritizes moving vehicle traffic while adapting to changing conditions, maintaining communication quality without requiring manual complex management.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors vehicle communication quality, mobility patterns, and network performance. This feedback is fed into machine learning models that automatically adjust resource allocation and routing decisions, creating a closed-loop system that prioritizes vehicle traffic while self-managing complexity through automated control.
3Stability of the object's composition
If network parameters are adjusted in real-time to overcome degradation, then communication stability is improved, but system response time and processing overhead increase
Solution Approach 1:
The system performs preliminary adjustments by predicting network degradation events before they occur. Machine learning models analyze historical data and current trends to anticipate parameter changes needed, allowing the system to proactively adjust network parameters, reroute traffic, and prepare alternative paths before actual degradation happens, thereby maintaining stability with minimal response time.
Solution Approach 2:
The patent implements pre-computed routing tables and cached parameter configurations that can be instantly deployed when degradation is detected. Instead of calculating optimal parameters in real-time during degradation events, the system skips the computation step by having pre-prepared solutions ready for immediate activation, dramatically reducing response time while maintaining communication stability.
Data Source
AI summary
Concepts and technologies disclosed herein are directed to communication support for connected vehicles. According to one aspect disclosed herein, a vehicle communication support system can receive data from a connected vehicle operating in communication with a network. The vehicle communication support system can determine whether the connected vehicle has experienced a network degradation. In response to determining that the connected vehicle has experienced network degradation, the vehicle communication support system can instruct at least one network component to change at least one aspect of the network to overcome the network degradation.