6G Digital Twin: Handover Prediction

The “6G Digital Twin: Handover Prediction” project is an advanced initiative focused on enhancing the capabilities of 6G wireless networks. It involves creating an accurate digital twin of a physical environment using LIDAR (Light Detection and Ranging) scans. This digital twin is a high-fidelity, virtual representation of the real-world scene, capturing intricate details that are crucial for effective scene analysis.

A key application of this project is in the domain of handover prediction in 6G networks. Handover is a process where a mobile device switches its connection from one network cell to another to maintain seamless connectivity, especially when in motion. Accurate handover is essential for the stability and speed of 6G networks.

Mert Kıray
Mert Kıray
Computer Vision & Deep Learning Researcher

Experienced with Python & Pytorch Pixel enthusiast, passionate about Computer Vision & Deep Learning