The main objective of 6GENABLERS is the design and prototype of 6G enablers based on artificial intelligence, distributed ledger technologies and cybersecurity.
This subproject focuses on the development of prototypes of 5G/6G network architectures enabled by powerful AI algorithms, capable of providing network automation and optimization functions, as well as composing resources and services in 6G networks in a holistic manner. In addition, the project envisages the use of intelligent and high-precision telemetry services in 5G/6G networks.
F. Rezazadeh, H. Chergui, L. Alonso and C. Verikoukis, "SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks," in IEEE Wireless Communications, doi: 10.1109/MWC.007.2300144 (Published), 2024
S. Roy, H. Chergui and C. Verikoukis, "Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case," in IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10529-10538, July 2024, doi: 10.1109/TVT.2024.3364363. (Published), 2024
S. Roy, H. Chergui and C. Verikoukis, "Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing," in IEEE Transactions on Cognitive Communications and Networking, doi: 10.1109/TCCN.2024.3400524. (Published), 2024
