From low-power technologies for communication to machine learning analytics for privacy preservation – Eurasia Review

IMDEA Networks recently won the ENABLE-6G coordinated project of the national UNICO 5G call. The project consists of two subprojects, RISC-6G and MAP-6G, and it will be developed by a group of researchers led by Dr. Domenico Giustiniano and Dr. Joerg Widmer. This grant will allow the Institute to continue its pioneering research in the field of networks and contribute to the development of the next generation of 6G technology.

Future 6G networks will go far beyond 5G use cases, involving large numbers of connected devices, significantly higher performance requirements, and support for detailed object and motion detection. environment in addition to communication. To this end, 6G networks will have to adopt new capabilities. The RISC-6G subproject will address this issue by aiming to improve wireless communications, provide environmental sensing, and dramatically reduce the per-device power footprint to avoid a dramatic increase in overall network power consumption.

Two key technologies will be explored to achieve these ambitious goals, namely low-power visible light communication (using LED lights to transmit data across the visible spectrum) and reconfigurable intelligence surfaces (renovation of the surface on walls with communication skills). “Integration of Intelligent Reflective Surfaces (RIS) will improve network capacity and strengthen the resilience of imports against link disruptions, thereby improving the mobile services that citizens and industry rely on. At the same time, the improved wireless sensing made possible by SIF will enable entirely new services, for example in remote healthcare and environmental monitoring,” explains Joerg Widmer, PI of the one of these projects.

On the other hand, the MAP-6G sub-project will contribute to the vision that 6G will enable full sensory immersion in cyberspace, while requiring data deluge management to enable not only dramatically improved network performance, but also much more complex services. In particular, one concept being considered for 6G by 2030 is that of a digital twin, which consists of a virtual representation of a physical object in its digital counterpart in real time. While very promising, these new services and analytics can also pose a threat to privacy. MAP-6G will design native privacy-preserving machine learning mechanisms for 6G applications to manage the large amount of data generated by services in 6G networks. “The project’s solutions will leverage emerging concepts such as ‘federated learning’ to share with the network infrastructure only the metadata needed to deliver these services while protecting personal data,” adds Prof. Giustiniano.

The final demonstrators will integrate the developed modules within the mobile network using testbeds comprising data servers, edge nodes and end-user devices, with the help of the project’s industrial partners. The innovation of the coordinated project will develop favorable market conditions that will create a sustainable business for all players in the value chain and stimulate the growth of the Spanish, European and global market. “A significant percentage of the budget is allocated to industry through competitive bidding, with the aim of supporting the project’s applied research and driving market adoption. This will benefit not only the partners working directly on the project, but also other potential stakeholders, through the dedicated activities that will be carried out in the project for community development to attract small and medium-sized enterprises (SMEs) and startups,” emphasizes Professor .Giustiniano.

In addition, the research will benefit the development of commercial equipment, industrial-grade prototypes as well as more flexible and open experimental platforms useful for early-stage 6G proofs of concept. In short, the ENABLE-6G project launched in January 2022 is timely, as the solutions that will be designed can be integrated into pre-6G systems that should be ready for deployment around the same time the project concludes. . (December 2024).

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