Roadside Unit Interference Detection via Geo-fenced CBR and PER
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Solution Overview
Problem
Existing wireless communication systems for Vehicle-to-Everything (V2X) face challenges in detecting wireless signal interference, particularly in the 5.9 GHz ITS band, which overlaps with unlicensed bands, leading to communication disruptions and errors.
Innovation Solution
A method for a roadside unit (RSU) to measure channel busy ratio (CBR) and package error rate (PER) for vehicles within and outside a defined geo-fence, recording interference events when thresholds are exceeded, using a processor and transceiver to log interference data and adjust quality-of-service levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the RSU measures communication parameters for all vehicles in the coverage area, then the interference detection coverage is improved, but the measurement complexity and processing load increase
Solution Approach 1:
The coverage area is segmented into two distinct zones using a geo-fence: an inner zone (within distance threshold) and an outer zone (outside distance threshold). Different measurement strategies are applied to each zone - PER is measured only for vehicles in the inner zone while CBR is measured for all vehicles. This segmentation reduces the overall measurement complexity while maintaining comprehensive interference detection coverage.
2Measurement precision
If the RSU measures both CBR and PER for all vehicles, then the interference detection accuracy is improved, but the processing time and energy consumption increase
Solution Approach 1:
Different measurement parameters are applied based on the local characteristics of vehicle positions. PER (package error rate) is measured only for vehicles within the geo-fence where interference impact is most severe, while CBR (channel busy ratio) is measured for all vehicles to provide broader context. This localized measurement approach maintains high detection accuracy for critical areas while reducing overall processing time and energy consumption.
3Area of stationary object
If the geo-fence distance threshold is increased, then the interference detection coverage area is improved, but the false positive rate increases
Solution Approach 1:
The system segments the detection area using a geo-fence at an optimized distance threshold, creating distinct measurement zones. Vehicles inside the geo-fence undergo PER measurement for precise interference detection, while vehicles outside undergo only CBR measurement. This segmentation allows broader coverage while maintaining reliability by applying stringent PER measurement only where interference impact is most probable.
Solution Approach 2:
The system changes measurement parameters based on distance - using PER (more sensitive, higher accuracy) for nearby vehicles and CBR (less sensitive, lower processing load) for distant vehicles. This parameter adaptation allows the system to expand detection coverage while controlling false positives by adjusting the stringency of measurement based on spatial location.
Data Source
AI summary
An infrastructure device includes a transceiver, programmed to communicate with a plurality of vehicles, wherein at least one of the vehicles is located within a distance defined from a location of the infrastructure device, and at least one of the vehicles is located outside the distance from the location of the infrastructure device; and a controller, programmed to measure a channel busy ratio (CBR) for communication with the plurality of vehicles, measure a package error rate (PER) for communication with one or more of the vehicles located within the distance, and responsive to the CBR being greater than a CBR threshold, or the PER being greater than a PER threshold, record an interference event into a log.