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📡 Proud to see 6G-XCEL featured at the IFIP Networking SLICES-RI Workshop! 🇪🇺 Our collaborative work on “Domain Adaptation and Transfer Learning applied to 5G datasets” — led by TCD, IBM, and AAU — was highlighted as a key example of experimentally-driven research and transatlantic cooperation. This is a great recognition of our joint efforts in building the foundations for trustworthy, AI-powered 6G networks! 🌍✨ […]

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🚀 6G-XCEL Team joined forces onsite at Trinity College Dublin 🇪🇺🔬 We’re thrilled to share that last week, our 6G-XCEL team with Merim Džaferagić and Georgios Tziavas have successfully set up an end-to-end 5G network as part of our collaborative mission to shape the future of 6G through Decentralized Multi-Party Multi-Network AI (DMMAI) Framework. ✨ Key highlights: ✅ Configured the E2 interface and exposed live KPM metrics✅ Exchanged hands-on experience across diverse hardware/software architectures✅ Defined next […]

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6G-XCEL Team presented in #ICLR2025 Workshop on Advances in Financial AI, where we presented our work on Distributed AutoML for Incremental Machine Learning Algorithms — a key outcome of our ongoing EU research project. Kudos to IBM Research team Seshu Tirupathi Dhaval Salwala! Read more on Linkedin post.

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6G-XCEL is at OFC 2025 this week! Visit us in the demo zone to check out our live Demonstration of the Cooperative Transport Interface (CTI). This demo showcases CTI running over an open source 7.2x split RAN and a virtualised Open PON network, illustrating how coordination between RAN and PON schedulers can reduce upstream latency and […]

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Addressing Data Scarcity and Distribution Shifts in AI-Driven Networks! 5G & beyond demand high reliability, low latency, and massive throughput, making AI-powered network management essential. But there’s a challenge—ML models require vast labeled datasets, which are costly and time-consuming to collect. How do we solve this? Our team supported by 6G-XCEL project researched Pre-trained Transformers & Transfer Learning to address data scarcity and […]

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Our academic team from Aalborg University presented at International ITG Conference on Systems, Communications and Coding (SCC) 2025 on TinyML Model Distribution for Energy-Efficient Data Retrieval using MQTT. Their work explores a Pull-based Communication Framework, achieving high energy efficiency while maintaining retrieval accuracy—a key step toward smarter, low-power AI-driven IoT solutions. This work acknowledges 6G-XCEL project’s contributions to low-power […]

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6G-XCEL Commonwealth Cyber Initiative (CCI) Joint Workshop at Virginia Tech happened on Feb 25-26 2025, with lot of good discussions on Work Package Updates, Deliverables and Milestones review, 6G Architecture discussions around the components of DMMAI, use-cases features and requirements, Testbed updates and deployments as well as a wide range of Research Presentations (AI & 6G Research, Data Models, Intelligent […]

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Check out our newsletter issue 1 published in December 2024 to get insights around 6G-XCEL Project Goals, Dissemination and Communication activities as well as publications: https://www.6g-xcel.eu/wp-content/uploads/2024/12/6G-XCEL-Newsletter-Issue-1.pdf

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Curious to get insights on how 6G-AI mashups are reshaping Telecom Industry impacting next-gen wireless networks? Shashi Raj Pandey, Assistant Professor at Connectivity Section (CNT) of Department of Electronic Systems in Aalborg University, published an interesting article in IEEE Spectrum related to 6G-XCEL Workshop in Rutgers. His insightful presentation was around the interplay between the value of […]

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6G-XCEL Team was around in TIP Fyuz2024 in Dublin Ireland on Nov 11-13, participating in two insightful panel discussions around “Future Networks: Are we ready for the AI Tsunami?” in partnership with CONNECT Centre. 💡 “Panel 2 6G and AI” touched upon RAN Efficiency topics, and what AI for networking and Networking for AI means. Interested to learn […]

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