Vehicular networks face a tough reality: unstable connections caused by high mobility and constantly changing environments. Traditional beam selection methods are too slow, leading to communication interruptions and increased latency.

The AI-Based Beam Selection solution changes the game. Using advanced AI/ML models, it predicts optimal beams for mmWave-based Vehicle-to-Vehicle communication. This significantly reduces beam training time and ensures reliable data transfer, whether in Line-of-Sight or Non-Line-of-Sight conditions.

The system maintains seamless connectivity even at high speeds. For autonomous driving, connected vehicles, and next-generation transport systems, this level of reliability is essential.

Benefits

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Reduced Beam Training Time

Predicts Top-3, Top-5, or Top-10 beams, minimizing exhaustive searches.

Enhanced Communication Reliability

Ensures stable connectivity in dynamic vehicular environments.

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Scalable & Efficient

Federated learning enables faster training and better scalability.

Optimized Resource Utilization

Preprocessing and data handling reduce computational costs.

Features

Explore the key features of our accelerator, each built to accelerate innovation and provide measurable business impact.

AI-Powered Prediction

Uses deep learning models (LSTMs, GRUs) for accurate beam selection.

Sensor Data Integration

Leverages cameras, LiDAR, and GPS for real-time context.

Advanced Learning Techniques

Incorporates transfer learning, federated learning, and centralized models.

Data Preprocessing & Balancing

Techniques like image enhancement, point cloud transformation, and focal loss for robust model performance.

High Accuracy

Achieves up to 90% accuracy for Top-10 beam selection.

Use Cases

Autonomous Vehicles

Ensures reliable V2V communication for navigation and safety by predicting optimal beams even when vehicles move rapidly or visibility changes.

Connected Cars

Supports seamless infotainment and continuous updates by maintaining stable links despite frequent direction changes or obstructions on the road.

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Smart Transportation Systems

Improves traffic coordination and communication reliability by providing consistent mmWave connectivity across complex, fast-changing environments.

Accelerators

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Kubernetes-based Serverless Platform (KuSP)

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AI-Based Beam Selection