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#snsju

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SNS JU

🔹 𝗝𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗦𝗡𝗦 𝗜𝗖𝗘 𝗙𝗶𝗻𝗮𝗹 𝗘𝘃𝗲𝗻𝘁! 🔹

As a 𝗦𝗡𝗦 𝗝𝗨 project, SNS ICE has played a crucial role in connecting the SNS JU community with 𝗴𝗹𝗼𝗯𝗮𝗹, 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻, 𝗮𝗻𝗱 𝘃𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀 - driving impact and fostering collaboration.

Now, as the project comes to an end, it’s time to reflect on its key achievements and insights.

📅 28 April 2025
⏰ 14:00 – 16:00 CEST
📍 Online Webinar

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗻𝗼𝘄: lnkd.in/e5e-GMgB

#SNSJU#SNSICE#5G
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SNS JU

📌 𝗦𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝗶𝗻 𝘁𝗵𝗲 𝟲𝗚-𝗜𝗔 𝗹𝗮𝗻𝗱𝘀𝗰𝗮𝗽𝗲!

The 6G-IA is the private member of the SNS JU. Our Industry Association have been very active in producing and sharing knowledge through different papers and reports.

𝗙𝗿𝗼𝗺 𝟱𝗚 𝗮𝗻𝗱 𝗕𝗲𝘆𝗼𝗻𝗱 𝟱𝗚 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗠𝗼𝗱𝗲𝗹𝘀 𝘁𝗼 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝟲𝗚 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀, explore the 𝟲𝗚-𝗔𝗜 extensive "𝗥𝗲𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗱 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀" section, featuring analyses on their 6G Vision and Networks ecosystems.

𝗥𝗲𝗮𝗱 𝗵𝗲𝗿𝗲 👉 lnkd.in/ejMKG7UX

#SNSJU#6G#5G
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SNS JU

🌟 𝗧𝗵𝗲 𝗦𝗡𝗦 𝗝𝗨 𝗠𝗮𝗿𝗰𝗵 𝟮𝟬𝟮𝟱 𝗡𝗲𝘄𝘀𝗳𝗹𝗮𝘀𝗵 𝗶𝘀 𝗳𝗶𝗻𝗮𝗹𝗹𝘆 𝗵𝗲𝗿𝗲! 🙋‍♀️

𝗜𝗻 𝘁𝗵𝗶𝘀 𝗶𝘀𝘀𝘂𝗲, 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗳𝗶𝗻𝗱:

📍 Key Insights from the SNS JU Session at MWC25
📍 Celebrating international women's day with Witar
📍 EU Japan digital week with SNS JU participation

💡 As always, the newsflash is packed with insights and opportunities you don’t want to miss.

𝗡𝗲𝘄𝘀𝗳𝗹𝗮𝘀𝗵 𝗵𝗲𝗿𝗲 👉 lnkd.in/eUZYniWf

#SNSJU#Tech#5G
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SNS JU

🚀 The Smart Networks and Services Joint Undertaking (SNS JU) , in cooperation with the other 8 Joint Undertaking, has launched a new call for tender (CAJU/2025/OP/0001) for Communication Services.

📅 Don’t miss the deadline, 28/05/2025, to submit your proposals. 📝

🟢 Description: Multiple Framework Service Contract in cascade for Communication Services divided in four Lots.

More info here 👉 lnkd.in/ehpZRusa

#SNSJU#Innovation#Reseach
Public
SNS JU

🔔 The 𝗦𝗺𝗮𝗿𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗝𝗼𝗶𝗻𝘁 𝗨𝗻𝗱𝗲𝗿𝘁𝗮𝗸𝗶𝗻𝗴 (𝗦𝗡𝗦 𝗝𝗨) has recently released several pivotal publications that are shaping the future of 6G networks in Europe.

📊 Take the time to have a look at our 𝟲𝗚 𝗞𝗣𝗜𝘀 – 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗧𝗮𝗿𝗴𝗲𝘁 𝗩𝗮𝗹𝘂𝗲𝘀 published in February 2025.

𝗖𝗹𝗶𝗰𝗸 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗿𝗲𝗮𝗱 𝘁𝗵𝗲 𝗽𝗮𝗽𝗲𝗿 👉 lnkd.in/eyiq6RPw

#SNSJU#WhitePapers#Tech
Public
SNS JU

🌟 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗦𝗡𝗦 𝗝𝗨'𝘀 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿! 🌟

We're excited to announce a major upgrade to our 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿, now featuring interactive data visualization capabilities that bring 6G use cases to life.

💥 This powerful tool helps you explore how SNS JU projects are shaping the future of vertical sectors through 6G innovation.

𝗧𝗿𝘆 𝗶𝘁 𝗻𝗼𝘄: lnkd.in/eiEaqG7m

#SNSJU#Tech#5G
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SNS JU

📌 The 𝗦𝗡𝗦 𝗝𝗨 has released several pivotal publications addressing different topical aspects of future 6G networks from a EU perspective.

The SNS JU 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗪𝗚 𝗪𝗵𝗶𝘁𝗲𝗽𝗮𝗽𝗲𝗿: 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀 has been published.

🎲 The document covers programmability, management, and security enablers for 6G telecommunication networks and systems.

𝗖𝗹𝗶𝗰𝗸 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 𝗽𝗮𝗽𝗲𝗿 👉 lnkd.in/eadvt_4E

#SNSJU#WhitePapers#Tech
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SNS JU

🔹 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝟯𝗚𝗣𝗣 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗦𝗡𝗦 𝗝𝗨 𝗜𝗺𝗽𝗮𝗰𝘁 – 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗮𝗻𝗱 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗼𝗿𝗶𝗲𝘀 🔹

📅 𝗪𝗵𝗲𝗻? Thursday, March 27 at 14:00 CET

Standardization is crucial for maximizing the impact of European research projects, and 𝟯𝗚𝗣𝗣 plays a key role in shaping global telecom standards. But how can research findings effectively contribute to 𝟯𝗚𝗣𝗣?

📌 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗻𝗼𝘄 𝗮𝗻𝗱 𝗯𝗲 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 👉 lnkd.in/eN6XuzVg

#SNSJU#3GPP#Standardization
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SNS JU

✨ The Smart Networks and Services Joint Undertaking (SNS JU) has recently released several pivotal publications addressing different topical aspects of future 6G networks from a European perspective.

🤖The “AI/ML as a Key Enabler of 6G Networks” white paper has been published.

𝗖𝗹𝗶𝗰𝗸 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 paper 👉 bit.ly/3DHZQtZ

More info on SNS JU 👉 smart-networks.europa.eu/

#SNSJU#WhitePapers#Tech
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SNS JU

🚀 At , @SNS_JU united Europe’s top industry leaders to chart the future of 5G, 6G, AI & cloud. Key takeaways:

✅ EU must lead 6G & ensure strategic
✅ Cloud-network integration is key for AI, security & sustainability
✅ 5G & AI are already transforming , & smart
✅ European R&D is driving global digital leadership

🔗 Read more: smart-networks.europa.eu/key-i

#SNSJU#Connectivity#DigitalFuture
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SNS JU

🚀 At , Ericsson & Nokia showcased the future of AI-driven 6G networks!

📡 Ericsson’s vision for 2030-2035 includes:
🔹 Mixed reality (smart glasses, wearables)
🔹 AI-powered personal assistants
🔹 Interactive AI for kids—imagine playing with dragons!

🎉 At Nokia, we explored:
🚀 Connectivity beyond Earth
⛈️ AI-powered weather tracking
🗣️ Warehouse automation via NLP
🫀 AI-driven healthcare breakthroughs

💡 The future of telecom is closer than we think!

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SNS JU

📢 Live at soon!

At 9:00 AM CET, join SNS JU for a session on Europe’s digital infrastructure future. Industry leaders from Orange, Nokia, Ericsson, Airbus & more will explore the convergence between key technologies and how 5G Advanced, 6G, AI & edge computing are coming together in the next-generation connectivity.

📍 Marconi Stage, Hall 6

🔜 See you there!

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sns_origami

NEW #6GSNS ORIGAMI Project publication from NEC Laboratories Europe in Transactions on Mobile Computing. The paper presents " DUNE: Distributed Inference in the User Plane”
doi.org/10.5281/zenodo.14723484 @HorizonteEuropa, #SNSJU, #horizonteeuropa, Smart Networks and Services Joint Undertaking (SNS JU)

ZenodoO-RAN Intelligence Orchestration Framework for Quality-Driven Xapp Deployment and SharingThe rapid evolution of 5G networks, with diverse traffic classes and demanding services, highlights the importance of Open Radio Access Networks (O-RAN) for enabling RAN intelligence and performance optimization.  Machine Learning-powered xApps offer novel network control opportunities, but their resource demands necessitate efficient orchestration. To address these issues, we present OREO, an O-RAN xApp orchestrator that, using a multi-layer graph model, aims to maximize the number of RAN services concurrently deployed while minimizing their overall energy consumption. OREO's key innovation lies in the concept of sharing xApps across RAN services when they include semantically equivalent functions and meet quality requirements. Despite the NP-hard nature of the problem, numerical results show that OREO offers a lightweight and scalable solution that closely and swiftly approximates the optimum in several different scenarios. Also, OREO outperforms state-of-the-art benchmarks by enabling the co-existence of more RAN services (14.3% more on average and up to 22%), while reducing resource expenditure (by 48.7% less on average and up to 123% for computing resources). Moreover, using an experimental prototype deployed on the Colosseum network emulator and using real-world RAN services, we show that OREO leads to substantial resource savings (up to 66.7% of computing resources) while its xApp sharing policy can significantly enhance quality of service.
Public
sns_origami

NEW #6GSNS ORIGAMI Project publication from IMDEA Networks Institute in IEEE Communications Magazine. The paper presents "Learning to Learn How to Manage Network Resources with Loss Function Meta-Learning”

zenodo.org/records/14718095 #horizonteeuropa, #SNSJU, @HorizonteEuropa, Smart Networks and Services Joint Undertaking (SNS JU)

ZenodoLearning to Learn How to Manage Network Resources with Loss Function Meta-LearningThe evolution of communication networks towards self-configuring systems requires the development of anticipatory approaches for network management to realize the envisioned concept of a zero-touch network orchestration. Current anticipatory network intelligence solutions rely on a well-defined loss function, which means that they require perfect knowledge of the relationship between the proactive management decisions and the consequent system performance. However, in anticipatory networking, there exist many tasks where characterizing such a relationship in advance is not possible. In such tasks, it is possible to measure the resulting performance of a management decision a posteriori, but we cannot know a priori the resulting performance of a certain management decision. A simple example of such tasks could be the maximization of the monetary profit when allocating resources to end users: when taking a certain resource allocation decision, it is possible to measure the profit afterwards, but it would be extremely difficult to determine a priori the resulting monetary profit. To close this gap, we present a novel two-fold learning approach, which is able to jointly learn the relationship between the prediction and the target management objective at the same time as it apprehends to anticipate the corresponding task. This method lays the foundations to the automated adaptation of network intelligence to specific complex objectives in zero-touch network management. We apply this method to different use cases of interest including monetary profit maximization.
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sns_origami

NEW #6GSNS ORIGAMI Project publication from Fogus Innovations and Services P.C. in Software and Standards for Smart Networks and Services Conference & Hackfests. The poster presents " An Urban Geography of Mobile Application Usage: Connecting Demand Dynamics and Urban Fabrics” This poster refers to the evaluation framework in WP4 that will be used for Barrier#8-related use cases doi.org/10.5281/zenodo.14725621 @HorizonteEuropa, #SNSJU, #horizonteeuropa, (SNS JU)

ZenodoA Service Mesh Platform for the Mobile Network Core
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sns_origami

NEW #6GSNS ORIGAMI Project publication from IMDEA Networks Institute and Universidad Carlos III de Madrid in INFOCOM 2025.

zenodo.org/records/14718344 @HorizonteEuropa, #SNSJU, #horizonteeuropa, Smart Networks and Services Joint Undertaking (SNS JU)

ZenodoAn Urban Geography of Mobile Application Usage: Connecting Demand Dynamics and Urban FabricsThe surge in usage of mobile applications generates a massive volume of traffic data exhibiting unique dynamics that are hard to unravel. In this work, we leverage factor analysis to pin down recurrent patterns of mobile traffic over the three dimensions of space, time and services in multi-city measurements of unprecedented resolution. We link the revealed structures of real-world mobile demands to urban fabrics, i.e., the combination of infrastructures and social characteristics that determine the functionality of urban territory, hence establishing connections between specific city landscapes and the mobile application consumption they create. Our study provides a new understanding about the diversity of mobile service dynamics in metropolitan areas, including insights on how economic status drives the adoption of specific applications, how residential versus commercial areas create a dichotomy in applications usage, how private and public transport drive surges in the prevalence of different sets of applications or how nightlife or university studies stimulate the utilization of specific classes of services.
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SNS JU

🌐 What if networks could do more than transport data?

Join session at , where Magnus Frodigh, VP & Head of Research, will explore Europe's connectivity future!

Discover how networks are evolving from transmission-centric to distributed compute paradigms, and learn about crucial infrastructure investment strategies.

📅 March 3, 2025
⏰ 09:00 AM
📍 Marconi Stage - Hall 6

Register here: mwcbarcelona.com/agenda/sessio

#SNSJUatMWC
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sns_origami

NEW #6GSNS ORIGAMI Project publication from IMDEA Networks Institute in ACM International Conference on Future and Sustainable Energy Systems. The paper presents "Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids”

zenodo.org/records/14717999 @HorizonteEuropa, #SNSJU, #horizonteeuropa, Smart Networks and Services Joint Undertaking (SNS JU)

ZenodoUltra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart GridsModern power grids are smart, comprising millions of electronic devices interconnected by communication networks. This exposes them to a wide range of cyberattacks which could lead to power outages and data breaches with far-reaching consequences. Thus, the timely detection of such attacks is essential. Machine Learning (ML) models are widely used for cyberattack detection in Smart Grids (SG) based on Software-Defined Networks (SDN). However, these models either run in external servers or in-network, fully in the application or control plane or distributed between the control and user planes. In all three cases, the models do not run at line rate and incur hundreds of milliseconds of delay in attack detection. This paper explores how ML inference in programmable switches can enable accelerated attack detection and mitigation in SGs at line rate with sub-microsecond delay. The proposed workflow brings the concept of user plane inference to SDN-based SGs and deploys a trained Decision Tree (DT) model into the switch pipeline for real-time inference on live traffic. The model is implemented in a testbed with production-grade Intel Tofino switches, where experiments are run with a DNP3 intrusion detection dataset. Results reveal how the model can distinguish multiple attacks against SGs with an accuracy of 99%, incurring a delay within 356 nanoseconds, while consuming a tiny portion of the available resources in the switch.
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