Geo-Aware vRSU Routing for V2X Coverage
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Solution Overview
Problem
Existing vehicle and road sensors, such as radar, lidar, and ultrasonic detectors, have limitations in obtaining information out of line-of-sight or beyond their detection range, which hinders effective vehicle-to-everything (V2X) communication and real-time environmental awareness.
Innovation Solution
The implementation of a virtual Road Side Unit (vRSU) system using Multi-access Edge Compute (MEC) and 5G NR wireless signals, which enables geo-aware packet routing and allows for continuous coverage of road segments and intersections, facilitating efficient V2X communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If physical RSUs are deployed at each intersection or alongside a roadway, then local V2X communication coverage is achieved, but device complexity and deployment cost increase significantly
Solution Approach 1:
The patent creates virtual copies of RSU functionality through software instances (vRSUs) running on edge computing devices. Instead of deploying physical RSU hardware at every location, virtual instances are instantiated on existing infrastructure, providing the same V2X communication services with reduced hardware complexity and deployment cost.
Solution Approach 2:
The edge computing devices host multiple vRSU instances that can serve different geographic areas and traffic patterns. A single physical edge device can host multiple virtual RSUs, each handling V2X communications for different road segments or intersections, thereby reducing overall system complexity while expanding coverage.
2Productivity
If message routing is performed without geo-awareness, then routing simplicity is maintained, but message delivery efficiency and relevance decrease
Solution Approach 1:
The service area is divided into multiple geofenced regions, with each vRSU instance responsible for specific geographic segments. Messages are routed based on their geographic relevance to these segments, allowing efficient filtering and delivery only to vehicles within or approaching the relevant geofenced areas, thereby improving routing efficiency without requiring complex global routing logic.
Solution Approach 2:
The system introduces a geo-aware routing layer that acts as an intermediary between message sources and destinations. This layer uses geofence definitions and vehicle location data to intelligently route messages, filtering out irrelevant communications while ensuring timely delivery of relevant safety and traffic information to appropriate vehicles.
Data Source
AI summary
Systems and methods described herein provide location-based routing for edge networks. A network device receives routing rules associating geohash tiles, for a region of interest, with one or more virtual Road Side Units (vRSUs). The network device receives a message from a vehicle client in the region of interest. The message includes a message header that identifies geospatial coordinates of a vehicle. The network device calculates a geohash based on the geospatial coordinates in the message header and associates, based on the routing rules, the geohash with one of the vRSU. The network device routes the message to the one of the vRSUs based on the associating.