NVIDIA announced the 6G Research Cloud, which is designed to help develop next-generation communications technologies. Early adopters and ecosystem partners include Ansys, ETH Zurich, Fujitsu, Keysight, Nokia, Northeastern University, Rohde & Schwarz, Samsung, SoftBank and Viavi.
The 6G Research Cloud is said to provide a comprehensive set of tools for implementing AI in the radio access network (RAN) space. NVIDIA notes that the platform enables organizations to accelerate the development of 6G services that will connect “trillions of devices” to cloud infrastructures, laying the foundation for a hyperintelligent world.
NVIDIA 6G Research Cloud consists of three key components. This is, in particular, the NVIDIA Aerial Omniverse Digital Twin for 6G subsystem: a specialized “digital twin” that allows you to physically accurately simulate 6G systems – from a single tower to the scale of an entire city. The twin includes software-defined RAN and user equipment simulators, as well as a set of realistic terrain and object properties. Using the system, researchers will be able to model and create base station algorithms based on site-specific data, and train models in real time to improve the efficiency of information transfer.
Another component is called NVIDIA Aerial CUDA-Accelerated RAN: it is a software-defined RAN stack that is designed to configure, program and test 6G networks in real time. The third element is the NVIDIA Sionna Neural Radio Framework, which provides seamless integration with popular platforms such as PyTorch and TensorFlow. This uses NVIDIA GPU-based accelerators to generate and collect data, as well as train AI models.
Researchers can use NVIDIA 6G Research Cloud for a variety of 6G projects. These could be services for autonomous transport, smart spaces, extended reality, immersive learning, teamwork, etc.
If you notice an error, select it with the mouse and press CTRL+ENTER. | Can you write better? We always welcome new authors.
Source: