Viavi Solutions shared the key steps of 6G and artificial intelligence (AI) research, unveiling the progress made through its 6G Forward program. Describing 6G as the first generation of AI-native wireless communications, the company said data sources such as a city-wide 6G digital twin would be vital for training other elements network, such as 6G AI-Native air interface.
City-wide 6G digital twin
According to Viavi, the cornerstone of this research initiative lies in the creation of a city-wide digital twin for 6G networks. Leveraging AI and machine learning (ML) technologies, Viavi says it is collaborating with Northeastern University’s Institute for the Wireless Internet of Things and the Open6G Cooperative Research Center. The focus is on modeling large-scale radio frequency (RF) propagation channels based on AI and ML technologies to develop a city-scale digital twin of a 6G network.
Key highlights of digital twin research include the integration of AI/ML to improve RF propagation modeling, real-world measurement campaigns conducted using Viavi’s robust RF capture and playback instruments Ranger, and the incorporation of higher-level key performance indicators (KPIs) to accurately model the impact of network conditions on application performance.
“Our research collaboration with Northeastern University has led to breakthroughs in the use of AI/ML for radio propagation modeling,” said Ian Wong, Office of the Technical Director, Viavi. “We believe this research is critical to enabling the creation of large-scale network digital twins, which Viavi is well-positioned to provide through our industry-leading laboratory network emulation and monitoring and monitoring solutions. Field network optimization, collecting data from real operator networks.
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6G AI Native Air Interface (AI-AI)
Furthermore, Viavi said it introduced the concept of AI-Native Air Interface (AI-AI), which represents a shift in the development and commercialization of communications technologies. This approach aims to address communication challenges and hardware limitations, particularly at the physical layer of wireless communications.
Viavi claims to have developed its own receptor as part of an end-to-end testing and training environment for neural receptors. The base station incorporates AI-assisted constellation design, replacing traditional modulation blocks with neural networks to design custom constellations for receivers. This neural receiver is versatile across different channel patterns, modulations, delays and Doppler, signal-to-noise ratio (SNR) and conditions, making it suitable for deployment in practical systems, the company announced Thursday.
Stephen Wang, Managing Director of Viavi Marconi Labssaid: “From neural receptors to rate-division multiple access for semantic networks, our 6G research is helping the industry build networks that dynamically adapt to different environments and conditions. We look forward to working with research labs and network equipment manufacturers to accelerate development. of these technologies. »
