In a groundbreaking collaboration between the University of Malaga (UMA) and Keysight, researchers have successfully developed an artificial intelligence/machine learning (AI/ML) model aimed at revolutionizing wireless communication in the upcoming era of 6G systems.
This cutting-edge technology promises to optimize wireless performance by enhancing the accuracy of Channel State Information (CSI), a critical component in maintaining reliable communications with high data rates and multi-antenna systems.
UMA and Keysight pioneer AI integration for CSI enhancement
Wireless researchers at UMA, in partnership with Keysight, have tackled the challenge of optimizing wireless performance by focusing on the computational and resource-intensive process of calculating and reporting accurate Channel State Information (CSI). Traditionally a bottleneck, this aspect of wireless communication is now a prime candidate for the integration of AI and ML technologies.
The collaborative effort resulted in the creation of an AI/ML model dedicated to enhancing CSI feedback for 6G systems. Keysight, in tandem with UMA, developed a digital twin platform designed to emulate the real-world performance of ML models.
This platform, integrated with Keysight’s PathWave System Design (SystemVue) modeling tool, enables researchers to evaluate the model under a diverse range of conditions, including fading profiles and other critical test scenarios.
The significance of this development lies in its ability to outperform traditional approaches by leveraging the power of AI and ML, thus paving the way for more efficient and adaptive wireless systems.
Industry-wide adoption: Keysight’s SystemVue interface
In a major stride towards widespread adoption, the collaboration has led to the creation of an interface layer that seamlessly connects Keysight’s SystemVue with any AI/ML algorithm adhering to common AI/ML APIs and frameworks.
This breakthrough means that the entire industry can now leverage the power of AI in optimizing wireless communication, as the interface opens the door for easy integration of various algorithms into Keysight’s SystemVue.
This transformative interface allows for flexibility in deploying different AI/ML algorithms, providing the industry with the tools to adapt and enhance wireless systems according to their unique requirements.
In a concerted effort to drive industry-wide standards and ensure seamless integration of this groundbreaking technology, Keysight and UMA are actively collaborating to present their findings to the 3rd Generation Partnership Project’s Radio Access Network (3GPP RAN-1) standards body for Release 18.
This initiative aims to establish global standards for the integration of AI-enhanced CSI feedback in 6G systems, fostering interoperability and paving the way for a new era in wireless communication.
The collaboration’s commitment to involving the 3GPP RAN-1 standards body reflects a dedication to ensuring that this innovation becomes a universally accepted and implemented solution in the telecommunications industry.
The collaboration between UMA and Keysight represents a monumental leap forward in wireless technology, particularly in the context of 6G systems. By successfully integrating AI and ML into the optimization of Channel State Information, the researchers have opened up new possibilities for reliable and high-performance wireless communication.
With the interface developed by Keysight, the industry now has a standardized and adaptable solution to usher in the era of AI-enhanced wireless systems, poised to redefine the future of communication.
