VIAVI Unveils Groundbreaking Advances in 6G and AI Research with Introduction of 6G City-Scale Digital Twin and AI-Native Air Interface
- Viavi showcases progress in 6G and AI research through the 6G Forward Program.
- Collaboration with Northeastern University for AI/ML-driven RF propagation modeling and digital twin creation.
- Development of a neural receiver for the AI-Native Air Interface, enabling custom constellation design and adaptability to various conditions.
- VIAVI's research aims to revolutionize wireless technology for dynamic adaptation to different environments and conditions.
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Insights
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into 6G technology represents a significant leap forward in the telecommunication industry's evolution. The development of a city-scale digital twin for a 6G network by Viavi Solutions Inc. is a substantial step towards creating more efficient and intelligent networks. These digital twins serve as a sandbox for network operators, allowing them to test and optimize network configurations and performance in a virtual environment before deployment in the real world.
This approach could potentially reduce costs associated with network trials and errors and speed up the deployment of new network technologies. Furthermore, the AI-Native Air Interface (AI-AI) suggests a paradigm shift from traditional signal processing to AI-driven methods, which could enhance the efficiency and reliability of wireless communications. This could lead to improved data throughput and quality of service for end-users, which is important for businesses relying on fast and stable internet connections.
Viavi Solutions Inc.'s emphasis on AI/ML-driven radio propagation modeling is poised to disrupt traditional RF planning and optimization. By augmenting ray tracing with AI/ML, Viavi can create more accurate models of how radio waves propagate in urban environments. This is particularly important for 6G networks, which will likely operate at higher frequencies with more complex propagation characteristics than previous generations.
AI/ML technologies have the potential to significantly enhance the adaptability and responsiveness of networks to real-time conditions. For businesses, this could mean more reliable connections and services tailored to specific use cases, such as autonomous vehicles or IoT applications. For the stock market, Viavi's pioneering work in this area could position them as a leader in next-generation network solutions, potentially impacting their market valuation and attractiveness to investors.
The financial implications of Viavi Solutions Inc.'s advancements in 6G and AI research could be substantial. By leading the development of technologies essential for the next generation of wireless communication, Viavi may secure a competitive edge in the market. Their network emulation and monitoring solutions are critical for operators looking to transition to 6G, potentially opening up new revenue streams for the company.
Investors should monitor Viavi's progress closely, as the successful commercialization of these technologies could lead to increased demand for their products and services. However, it's important to consider the investment required for research and development and the time to market, which could affect short-term financials. In the long term, if Viavi's technologies become industry standards, the potential for growth could be significant.
6G City-Scale Digital Twin
In 2022, VIAVI announced support for research at the Institute for Wireless Internet of Things and the Open6G cooperative research center at Northeastern University, as part of the VIAVI 6G Forward Program. A key aspect of the research was large-scale RF propagation channel modeling based on AI and ML technologies to develop a city-scale digital twin of a 6G network.
The digital twin research has expanded to include:
- Use of AI/ML to augment ray tracing for radio frequency (RF) propagation modeling to drive the digital twin
- Conducting real-world measurement campaigns in the
Northeastern Boston campus using the VIAVI Ranger rugged RF capture and playback instrument - Incorporating higher-layer KPIs in the digital twin, to more effectively model effects 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 Dr. Ian Wong, CTO Office, VIAVI. "We believe this research is critical in enabling large-scale network digital twins, which VIAVI is well poised to deliver given our leading network emulation solutions in the lab and network monitoring and optimization solutions in the field, gathering data from actual operator networks."
"At Northeastern's Institute for the Wireless Internet of Things (WIoT), we have been using VIAVI's state-of-the-art testing and measurement equipment to model and deploy high-fidelity digital twins of real-world wireless networks on our Open RAN Digital Twinning platform, Colosseum," said Professor Tommaso Melodia, Director of WIoT at Northeastern University. "This will facilitate the research, development, and experimentation of AI-driven solutions for 5G and beyond networks in a risk-free digital-twinned world with hardware in the loop."
6G AI-Native Air Interface (AI-AI)
The AI-Native Air Interface (AI-AI) has appeared as a shift in the conventional methods of developing, standardizing, and commercializing communication technologies with the goal of effectively supplying data to applications while addressing communication problems and hardware limitations. In the physical layer of wireless communications, the neural receiver concept suggests replacing traditional signal processing blocks with trained AI models.
To enable comprehensive testing of neural receivers, VIAVI has developed and demonstrated its own receiver as part of an end-to-end test and training environment. The base station employs an AI-aided constellation design, where the modulation block is replaced with a neural network to design custom constellation for the receiver. The VIAVI in-house developed neural receiver is generalizable over various channel models and modulations, delay and doppler, signal-to-noise ratio (SNR) and other conditions, which is vital for deployment in practical systems. VIAVI used open-source and in-house libraries to implement the transceiver architecture.
"VIAVI continues to explore and develop groundbreaking future generations of wireless technology, and we are at the frontier of AI-native 6G," said Dr. Stephen Wang, Managing Director, VIAVI Marconi Labs. "From neural receivers to rate-splitting multiple access for semantic networks, our 6G research helps the industry create 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."
About VIAVI
VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications. Learn more about VIAVI at www.viavisolutions.com. Follow us on VIAVI Perspectives, LinkedIn and YouTube.
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