V2X xApp
Overview
The V2X xApp developed by VelinkX Ltd. is a next-generation solution designed to optimize vehicle-to-everything (V2X) communication using 5G and Open RAN frameworks.
- This application provides advanced capabilities for efficient resource allocation and seamless integration of various V2X communication modes.
- By leveraging AI-based algorithm and flexible network architecture, the V2X xApp enhances safety, and connectivity for autonomous and connected vehicles.
- Leveraging meta-learning and deep reinforcement learning (DRL), our V2X xApp is the first of its kind to generalize across varying wireless scenarios, delivering optimal resource allocation, reduced latency, and enhanced reliability. This pioneering approach ensures robust and adaptive communication performance in both urban and rural environments.
Key Features
The V2X xApp supports three distinct modes for vehicle-to-vehicle (V2V) communication:
- Dedicated Mode: Allocates exclusive resources to each V2V link, ensuring reducing interference and high reliability.
- Reuse Mode: Optimizes spectrum efficiency by allowing multiple V2V links to share the same resources while maintaining interference management.
- Cellular Mode: Relies on the cellular network for V2V communication .
Dynamic Resource Allocation
- The xApp dynamically allocates resources to V2V links based on real-time network conditions, vehicle density, and communication mode.
- Our solution uses meta-learning to quickly adapt to unseen wireless conditions and DRL to iteratively improve resource allocation strategies.
- Using AI-based scheduling algorithms, the V2X xApp prioritizes critical messages (e.g., safety alerts) over nonurgent data, ensuring that time-sensitive information is delivered promptly.
- The application meets the strict requirements of ultra-reliable low-latency communication (URLLC), making it ideal for mission-critical V2X use cases such as collision avoidance and cooperative driving.
- Designed for high-density vehicular networks, the xApp ensures robust performance even in urban areas with high V2I and V2V communication demands.
