Keysight and InterDigital to Demonstrate AI in 6G Systems at Mobile World Congress 2024
Keysight Technologies collaborates with InterDigital to demonstrate training and operation of AI signal processing models for 6G at MWC24. The AI channel estimators are trained with simulated and real-world data, integrated into a physical layer, and validated in an over-the-air system, showcasing the potential of AI in wireless communications systems.
The integration of Artificial Intelligence (AI) in wireless communication systems , particularly for channel estimation in the 6G physical layer, represents a significant technological advancement. The collaboration between Keysight Technologies and InterDigital showcases the potential to improve system performance and efficiency. AI channel estimators can offer enhanced robustness and adaptability to new use cases by learning from site-specific data, potentially leading to more reliable and efficient network operations.
In the context of 6G, which promises higher frequencies and more complex modulation schemes, traditional channel estimation methods may struggle with the increased density and dynamic nature of the wireless environment. The use of neural networks (NNs) for this purpose could provide a more accurate and faster means to model and predict channel conditions, which is crucial for maintaining high data rates and low latency in next-generation networks.
The demonstration of AI-based channel estimation by Keysight and InterDigital may have a positive impact on their financial performance in the long term, as it positions both companies at the forefront of 6G technology development. Investors should note the potential for these companies to secure a competitive advantage in the telecommunications equipment market, which could lead to increased market share and revenue as the industry transitions to 6G.
Furthermore, the involvement in EU-funded projects like CENTRIC and 6G-SANDBOX indicates a strategic alignment with regional research initiatives, which may improve access to additional funding and collaborative opportunities. This could foster innovation and speed up development cycles, potentially leading to earlier market entry for their AI-integrated solutions.
The use of AI for channel estimation in wireless communications is a disruptive innovation that could redefine performance benchmarks in the industry. The ability to train neural networks with a mix of simulated and real-world data, as demonstrated by Keysight and InterDigital, suggests a significant improvement in the versatility and accuracy of these systems. The comparison of NN-based channel estimation to traditional methods will be critical in validating AI’s efficacy and could accelerate its adoption in the industry.
Moreover, the dual approach to training the NN—using both simulated data from EDA software and real-world measurements—highlights a comprehensive methodology to optimize AI models for practical deployment scenarios. This could lead to a more rapid and confident integration of AI in commercial networks, enhancing the appeal of Keysight and InterDigital's offerings to potential customers in the telecommunications sector.
02/21/2024 - 11:00 AM
Demonstration of training and operation of artificial intelligence signal processing models inside a 6G physical layer
AI models are trained with simulated and real-world data
Operation of models are validated in an over-the-air system
SANTA ROSA, Calif. --(BUSINESS WIRE)--
Keysight Technologies, Inc. (NYSE: KEYS) has collaborated with mobile, video and AI technology research and development company InterDigital Inc. (Nasdaq: IDCC) to show how Artificial Intelligence (AI) channel estimators can be trained, integrated into a physical layer, and evaluated with an over-the-air demonstration at Mobile World Congress Barcelona 2024 (MWC24). Presented at Keysight's booth, Hall 5 Stand 5E12, the demonstration will feature a 144 GHz communications link that uses AI models for channel estimation developed by InterDigital and Keysight .
As AI technology matures, it is being integrated into wireless communications systems and will be a foundational technology for 6G. One of the applications of AI in wireless is channel estimation. When the channel estimation block is replaced with a neural network (NN), site-specific training data used for the NN can optimize its performance and robustness to new use cases.
The demonstration uses Keysight’s communications system-specific Electronic Design Automation (EDA) software to model a 3GPP physical layer and wireless channels. Instead of using the traditional channel estimation signal processing, this block has been replaced with various neural networks for channel estimation. The first NN was fully developed and trained by InterDigital and delivered to Keysight. The second NN was developed by Keysight and trained in two different ways. First using a combination of data generated by Keysight’s Electronic Design Automation System (SystemVue) software and then again using real-world measurement data. The demonstration compares performance and complexity of InterDigital and Keysight’s Machine Learning approaches to that of traditional channel estimation, and uses an EDA software environment and a real-world 144 GHz over-the-air environment.
Being able to benchmark the performance of NN and compare them to traditional methods as well as other NN is critical for the advancement of AI in 6G. Without these sorts of measurements and comparisons, the true performance gains (or losses) of AI cannot be known and the adoption of the technology will be hindered.
Milind Kulkarni, Vice President and Head of Wireless Labs at InterDigital, said: “Through partnership with Keysight, we are able to extend our ability to validate AI solutions for wireless networks. These types of collaborations and their outcomes provide valuable insight and build industry alignment as we work to shape how AI will be used in both 5G and 6G.”
Giampaolo Tardioli, Vice President, 6G and Next Generation Technology at Keysight, said: “The world is embarking on a transformative journey to revolutionize the future of connectivity with the use of AI in wireless communications. Our collaboration with strategic partners like InterDigital enables us to hone our solutions and capabilities to meet the needs of our customers as they continue pushing the boundaries of what is possible when AI and wireless are combined.”
This demonstration includes technology that was developed as part of CENTRIC and 6G-SANDBOX, projects that have received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation program under Grant Agreement No 101096379 & 101096328 respectively.
About Keysight Technologies
At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product lifecycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and www.keysight.com .
View source version on businesswire.com: https://www.businesswire.com/news/home/20240221116125/en/
Paul Erwin
Americas
paul.erwin@keysight.com
Fusako Dohi
Asia
fusako_dohi@keysight.com
Jenny Gallacher
Europe
jenny.gallacher@keysight.com
Source: Keysight Technologies, Inc.
What collaboration has Keysight Technologies entered into related to AI models for 6G?
Keysight Technologies has collaborated with InterDigital to demonstrate training and operation of AI signal processing models for 6G at Mobile World Congress Barcelona 2024.
What technology was showcased in the demonstration at MWC24?
The demonstration at MWC24 featured a 144 GHz communications link using AI models for channel estimation developed by InterDigital and Keysight.
How are AI channel estimators trained in the demonstration?
The AI channel estimators are trained with simulated and real-world data, integrated into a physical layer, and validated in an over-the-air system.
What projects have funded the technology development showcased in the demonstration?
The technology developed was part of CENTRIC and 6G-SANDBOX projects funded by the Smart Networks and Services Joint Undertaking under the European Union's Horizon Europe research and innovation program.
Why is benchmarking the performance of neural networks critical for AI advancement in 6G?
Benchmarking the performance of neural networks against traditional methods and other neural networks is crucial to understanding the true performance gains or losses of AI in 6G, facilitating technology adoption.
