In-Vehicle Wireless Interference Mitigation Using External Sensors
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Solution Overview
Problem
Existing in-vehicle wired networks are being replaced by wireless networks, but managing wireless interference remains a challenge, particularly from external sources, which can cause intermittent malfunctions and performance issues, and are difficult to troubleshoot.
Innovation Solution
The use of in-vehicle sensors and Vehicle-to-everything (V2X) messages to detect and determine the location and motion state of adjacent vehicles, allowing for the calculation of potential interference and implementation of mitigation strategies to minimize its impact on wireless networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless networks are introduced to replace wired networks in vehicles, then network flexibility and ease of installation are improved, but wireless interference management becomes more difficult and system reliability deteriorates
Solution Approach 1:
The system performs preliminary detection of potential interference sources using sensors and V2X messages before interference actually occurs. By calculating probability of interference based on location and motion state of adjacent vehicles, the system can proactively mitigate interference issues before they cause network failures, thus improving reliability while maintaining wireless network flexibility
2Difficulty of detecting and measuring
If external sensors are used to detect interference sources, then interference detection capability is improved, but device complexity increases
Solution Approach 1:
The system repurposes existing multi-functional components (cameras, radar, LIDAR, ultrasound sensors originally designed for other automotive functions) for interference source detection. By making these existing sensors serve multiple purposes including wireless interference detection, the system improves detection capability without adding dedicated interference detection hardware, thus avoiding increased device complexity
Solution Approach 2:
The system combines information from multiple existing sensor sources (on-board sensors and V2X messages) into a unified interference detection framework. By merging data from cameras, radar, LIDAR, ultrasound sensors, and V2X communications into a single probability calculation system, the approach improves detection capability while avoiding the complexity of separate dedicated detection systems
Data Source
AI summary
Techniques described herein leverage existing localization sensors or V2X devices to detect one or more other vehicles that include wireless systems that can interfere with in-vehicle wireless networks. The localization sensors or V2X devices can provide information to determine a location, a heading, a speed, a size, and a type of other vehicles. This information can be used to determine a probability of network interference and allow the in-vehicle wireless networks to employ one or more techniques to mitigate the effects of the interference. The interference mitigation techniques can include increasing or decreasing transmitter power, changing a frequency or a channel of a wireless transmitter, or activating one or more additional transmitters as relays to improve reliability.