Nvidia announced a new research platform to help organizations accelerate the development of 6G technology, the next generation of wireless technology.
According to the announcement, the Nvidia Research Cloud platform provides researchers with a “comprehensive suite for advancing AI for use in radio access network (RAN) technologies.”
The platform will enable customers to simulate cloud communications environments to study 6G, which is expected to be commercially available near 2030.
Nvidia’s new platform includes early adopters and partners including Ansys, Arm, ETH Zurich, Fujitsu, Keysight, Nokia, Northeastern University, Rohde & Schwarz, Samsung, SoftBank Corp, and Viavi.
It consists of three “building blocks”: Nvidia Aerial Omniverse Digital Twin for 6G, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework.
Aerial Omniverse Digital Twin for 6G is a reference application that enables physically accurate simulation of 6G systems of various sizes, from a single tower to an entire city.
Researchers will be able to simulate and build base station algorithms using site-specific data and train models in real-time to increase transmission efficiency.
Testing and simulation will be key in working toward next-generation wireless technology. That’s why engineering software company Ansys has announced that it will integrate the Perceive EM solver into its Omniverse ecosystem.
Nvidia’s Aerial CUDA-Accelerated RAN refers to a full software-based RAN stack that gives researchers the freedom to customize, program, and test 6G networks in real-time.
Sionna Neural Network Framework integrates popular frameworks such as PyTorch and TensorFlow, allowing users to leverage Nvidia GPUs to generate and capture data and train AI and ML models at scale. Masu.
This package includes Sionna. Sionna is described by Nvidia as “the leading link-level research tool for AI/ML-based over-the-air simulation.”
Nvidia wants to drive the ‘next leap’ in wireless communications
Nvidia boasted that its 6G Research Cloud Platform integrates these tools to help carriers realize the full potential of 6G.
Charlie Zhang, SVP of Samsung Research America, said the intersection of AI and 6G has the potential to be transformative and reimagine digital communications.
“The future convergence of 6G and AI promises a transformative technology landscape,” he explained.
“This will enable seamless connectivity and intelligent systems that will redefine how we interact with the digital world and usher in an era of unparalleled innovation and connectivity.”
Ronnie Vashishta, senior vice president of telecoms at Nvidia, said access to AI, a full software-based RAN reference stack, and digital twin technology will be key to achieving the transmission efficiency needed for the transition to 6G. said.
“The massive increase in connected devices and a host of new applications in 6G will require a major leap forward in radio spectrum efficiency in wireless communications…The key to achieving this will be AI, software-defined A full RAN reference stack, and the use of next-generation digital twin technology. ”
