Call 4 and 5 Projects

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6G-OPTICON is a flagship initiative aimed at designing a next-generation, end-to-end orchestration framework tailored for the 6G era. By embedding constraint-native deep learning throughout the orchestration pipeline, the project will enable intelligent, adaptive planning, optimization, and management across a complex landscape of interconnected networks and heterogeneous domains. At its core, 6G-OPTICON envisions an open, modular, and highly extensible orchestration fabric that unifies services and infrastructure across O-RAN, core, transport, and edge. To enable operation under strict real-time, latency, energy, security, and multi-domain constraints, novel deep learning models will be developed that inherently incorporate these requirements during training and execution (potentially guided by closed-form formulas or physical laws), ensuring SLA compliance, conflict-free optimization, and operational robustness. In parallel, the project pioneers secure-by-design AI pipelines, leveraging trusted execution environments, encrypted computation, and explainable AI methods adapted for privacy-preserving contexts. Finally, by promoting energy-adaptive, hardware-aware AI deployment strategies and event-driven automation, 6G-OPTICON delivers a blueprint for sustainable, trustworthy, and intelligent 6G network orchestration.

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Operating over B5G/6G networks, the Agentic6G multi-agent Agentic-AI system (MAS) will be able to benefit from and further evolve the interplay of 6G network and compute across the Device-Edge-Cloud continuum and potentially from new 6G architectural advancements such as the AI-native paradigm, in addition to the 6G extreme communication capabilities beyond 5G. For service composition, Agentic6G will allow the MAS to autonomously compose, coordinate, and optimise B5G/6G and/or vertical business microservices across Edge-Cloud infrastructures, advancing the B5G cloud-native approach for autonomous service composition, deployment and management, by combining collective agentic AI’s knowledge handling as an integral element through fast, efficient, and autonomous access to and application of knowledge with the support of Large Language Models (LLMs), shared memories and tools. Agentic6G will enable efficient end-to-end Agentic Operations (AgenticOps) to support the lifecycle management of MAS to enable this vision. Furthermore, to meet the challenging and demanding operational environments in real world, Agentic6G will provide self-organising capabilities focusing on spontaneous agent generation, and self-protection, self-healing and auto-scaling of multi-agent systems through hybrid orchestration featured with agent-embedded orchestration for decentralised scenarios and advanced self-organising capabilities as the agents’ tools. Thereby, Agentic6G will help remove the barriers for adopting and deploying such multi-agent agentic AI systems in B5G and 6G networks, by addressing some of the well-known and critical challenges such as security risks, and lack of availability/robustness/resilience and scalability. The main outcomes will be a set of Agentic 6G agent as autonomy enablers and an integrated Agentic6G MAS, tested, validated and demonstrated with representative technical use cases and a complicated swarm intelligent robotics vertical application.

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The rapid growth of latency-sensitive applications—autonomous mobility, industrial automation, immersive XR, and AI-driven decision systems—is placing unprecedented demands on digital infrastructure. While 6G promises ultra-reliable low-latency communication, pervasive edge computing, and programmable network fabrics, the software stack to fully exploit these capabilities remains underdeveloped. SIXG (Serverless Infrastructure for neXt-Generation 6G networks) addresses this gap with a unified, real-time serverless computing framework. Its vision is dual: enabling real-time serverless applications leveraging 6G features such as network slicing, NFV, cloud-network integration, and programmable data planes; and embedding serverless functions across user, control, and management planes to deliver agility, scalability, and responsiveness for mission-critical workloads.
At the application level, SIXG supports novel serverless workloads—e.g., AI-driven video analytics and hazard detection—that require ultra-low-latency ingestion, elastic orchestration, and modular execution. A next-generation streaming layer provides primitives for ingestion, transformation, tiered storage, and state management, while a burst-aware WebAssembly runtime ensures real-time responsiveness under unpredictable workloads. At the network level, programmable execution across 6G planes enables traffic steering, QoS enforcement, and service orchestration. Embedded GPUs, real-time telemetry, confidential computing, and AI-driven orchestration support seamless service migration, optimal workload placement, and wire-speed event processing by jointly optimizing software and network layers, SIXG establishes a cross-layer, AI-native foundation for real-time Function-as-a-Service in 6G. Proof-of-concepts in smart manufacturing and ADAS validate the framework, demonstrating scalable, ultra-low-latency, and energy-efficient solutions for next-generation intelligent services.

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The MAGIC-6G project pioneers an innovative Goal-oriented Networking (GoN) framework to redefine 6G communication systems by tightly integrating network intelligence with application goals through novel semantic representations and AI-native orchestration. Building upon emerging 6G architectural trends, MAGIC-6G introduces modular virtual Knowledge and Agent Layers that enable dynamic, distributed coordination among network nodes and application agents to support scalable, secure, and sustainable services across diverse verticals. By advancing multi-modal semantic representations, joint communication-computation-control (3C) optimisation, and rigorous integration of sustainability, safety, and security (3S), the project targets breakthrough performance in challenging use cases including environmental digital twins, autonomous industrial robots, and collaborative immersive XR education. With a strong, multidisciplinary European consortium spanning academia and industry, MAGIC-6G ensures impactful technological innovation, validated through realistic proof-of-concepts, and promotes rapid uptake by driving harmonised standardisation and equipping SMEs with modular building blocks for next-generation 6G services. The project aligns with EU strategic objectives to lead the global 6G evolution, foster digital sovereignty, and accelerate green and human-centric digital transformations.

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The evolution toward 6G networks requires fundamental architectural innovations that can simultaneously lower costs, improve sustainability, and enable new services. The current landscape remains fragmented, often energy intensive, and heavily dependent on proprietary solutions, limiting the ability of operators to meet future performance, resilience, and sovereignty requirements.
PROSPERO addresses these challenges by proposing a Uniform, Integrated and Simplified (UIS) 6G architecture that unifies connectivity, intelligence and sustainability within a coherent framework. The project is framed around three operator driven business cases: lowering Total Cost of Ownership, enabling new revenue sources, and reinforcing network resiliency. To achieve these objectives, PROSPERO introduces five strategic paradigms: architectural simplification to reduce fragmentation and deployment costs; global operations that enable trusted collaboration across multiple stakeholders; native integration of AI for automation and novel services; sustainability by design through energy aware mechanisms and resource efficient programming; and seamless management frameworks for resources, functions and AI models across heterogeneous domains these paradigms are translated into concrete solutions that will be designed and validated through targeted Proof of Concepts to demonstrate both technical feasibility and operator relevance. By following this approach, PROSPERO contributes to the expected impacts of the program: the UIS architecture reduces reliance on proprietary technologies and strengthens European sovereignty. Energy efficiency and resource optimization support the green transition. AI enabled orchestration across cloud, edge and operator environments fosters new business models and vertical applications. Finally, alignment with standardization activities ensures European leadership through a validated blueprint for future 6G networks.

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OPTIMUS-6G will develop a multi-domain network architectural framework that enhances multi-functional communication for IoT devices and applications in 6G unlicensed bands, addressing future use cases and optimising their performance. This will be achieved through the design of novel multi-band and multi-RAT models that optimize the operation of heterogeneous IoT devices across unlicensed 6G bands (6G-U), spanning multiple communication technologies (radio, optical) and domains (IoT, edge, cloud), as well as the development of an advanced digital twin (DT)-enabled framework to calibrate these models and test them on tangible use cases. To enable seamless integration of the OPTIMUS-6G architecture into the 6G-IoT ecosystem, the project will leverage multi-band communication by implementing cutting-edge technologies in both radio and optical bands to ensure reliable, high-bandwidth, and low-latency connectivity. It will also introduce hardware-agnostic, cross-layer protocols to optimize communications and data processing across heterogeneous IoT devices along the computing continuum. Furthermore, OPTIMUS-6G will enhance resource and data orchestration for network and application optimization by applying advanced AI-enabled mechanisms. The DT-enabled framework will be central to testing and evaluation, ensuring its seamless integration into the 6G-IoT framework. Finally, the deployed architecture will be validated and assessed across three use cases, focusing on unlicensed IoT operations to support long-term unattended deployments in manufacturing, healthcare, and campus networks.

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IoT-ZERO develops sensing and connectivity technologies and architectures to enable the advent of (close to) zero energy devices. We target the development of breakthrough innovations in ultra-low-power and (close to) zero energy IoT systems for sustainable and scalable 6G applications. The project aims to radically enhance the energy efficiency, autonomy, and intelligence of IoT devices, while ensuring secure, resilient, and seamless connectivity across terrestrial (TN) and non-terrestrial networks (NTN). To achieve this, the consortium will deliver a Unified 6G-ready Energy-Aware Architecture with cross-layer energy lifecycle models, digital-twin validation, and observability/brokerage functions to enable (close to) zero energy operations and seamless TN-NTN integration for future-proof asset tracking and long-term deployments. Second, Secure, Ultra-Low-Power Communication and Networking delivers adaptive, asynchronous protocols and lightweight physical-layer security, and integrates ambient backscatter to keep reliable connectivity across TN and NTN even for intermittently powered, battery-less nodes. Third, Neuromorphic and Event-Driven Sensing brings spike-based encoders, transceivers, and embedded SNN inference to achieve sub-milliwatt, event-proportional intelligence on the device. We prototype battery-less and energy harvesting IoT modules that make long-life, maintenance-free deployments feasible. IoT-ZERO serves Europe’s asset-heavy enterprises such as logistics, manufacturing, utilities, and cities, demonstrating via a flagship TN–NTN asset-tracking PoC that self-powered, event-driven tags provide coverage continuity while reducing OPEX and CO2. By embedding NTN support into its (close to) zero energy framework, IoT-ZERO extends reach to underserved, rural, and mobile contexts while maintaining its primary focus on energy autonomy. In doing so, it provides validated KPIs and standard-aligned building blocks that can guide operator and vendor roadmaps.

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PIONEERS-6G addresses the limitations of today’s 5G for IoT by developing and validating an Omni-IoT platform that is energy-efficient, resilient, and secure. Building on lessons from fragmented and roaming-dependent IoT deployments, the project pioneers resilient and autonomous connectivity that unifies terrestrial and non-terrestrial networks, ensuring service continuity even in harsh environments such as underground or underwater. It advances intelligent and energy-efficient devices through adaptive, multi-mode operation and energy harvesting, and enhances situational awareness via integrated sensing, positioning, and communication. At the architectural level, PIONEERS-6G transforms the current service-based model into an AI-native orchestration framework with causal optimisation, embedding zero-trust security and sustainability principles.
These innovations will be validated through demonstrations in Industrial, Underground, Underwater, and Global IoT scenarios, showcasing measurable improvements in Key Performance Indicators (KPIs) such as latency, coverage, and energy efficiency, and in Key Value Indicators (KVIs) such as resilience, trust, and sustainability. By combining advanced device, RAN, and core network research with real-world proofs-of-concept, PIONEERS-6G lays the foundation for a sustainable and globally scalable 6G IoT ecosystem, reinforcing Europe’s leadership in next-generation digital infrastructures.

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Current 5G RANs are energy-intensive (consuming up to 75% of mobile network power) and inflexible, relying on vendor-specific acceleration and static allocation of compute resources. SHARC addresses these challenges by enabling a multi-tenant, hardware-accelerated 6G RAN that dynamically orchestrates RAN workloads across heterogeneous compute platforms (CPUs, GPUs, FPGAs, and emerging neuromorphic/analog accelerators), while ensuring trust, security, and energy efficiency at its core, SHARC introduces an Intelligent Hardware Abstraction Layer (i-HAL) to seamlessly deploy and adapt RAN workloads on diverse accelerators, integrating confidential computing primitives for secure execution. Advanced RAN functions such as massive MIMO, beamforming, and channel coding will be optimized for heterogeneous acceleration, supported by a library of multi-variant workload implementations. An AI-driven orchestration framework, extending O-RAN SMO and RIC and integrating European meta-OS initiatives (e.g., ICOS, NEMO), will provide cross-layer observability and closed-loop workload lifecycle management. A telecom-grade MLOps pipeline will automate the continuous integration, deployment, and governance of AI models for hardware-accelerated RAN control the project will validate its innovations through Proof-of-Concept deployments across multiple European testbeds, covering terrestrial, non-terrestrial, and edge-cloud scenarios. SHARC will deliver measurable gains in energy efficiency, latency, and secure workload portability, while contributing to O-RAN, 3GPP, and ETSI standards. In doing so, SHARC will strengthen Europe’s leadership in 6G, advancing its goals for digital sovereignty, sustainability, and innovation.

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6G envisions unprecedented requirements for immersive, hyper-reliable, ubiquitous and low-latency connectivity together with dynamic sensing and AI-native capabilities across diverse and complex propagation environments. However, traditional waveforms and signal processing methods struggle to meet these requirements, especially under high mobility, interference, scalability and energy efficiency constraints. Furthermore, exploitation of MIMO (multiple input, multiple output) antenna technologies such as extremely large antenna arrays causes energy consumption bottlenecks as the number of RF chains scales-up. Hence, significant new innovations in signal and waveform design/processing, will be needed to meet the ambitious sustainability, performance, and standardization and backward compatibility goals of 6G. To address these challenges, a new pan-European consortium has been established to put forth this proposal, bringing together leading experts from a range of complementary disciplines, including RF and analogue circuit design, antenna systems, multidimensional signal processing, machine learning, and communication networks.
MULTIPLY-6G aims to develop advanced multidimensional waveform technologies, low-complexity extreme large arrays, and advanced spectrum sharing techniques, in an Open RAN (O-RAN) framework. This approach could unlock unprecedented levels of area spectral efficiency, energy efficiency and communication link reliability for wireless networks beyond 5G. It explores a revolutionary approach towards multi-dimensional waveform processing/design, by channel representation in delay, Doppler, and wavenumber domains, ensuring compatibility with standard wireless protocols.

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Abstract:
6G will transform wireless communications by delivering extreme data rates, ultra-low latency, and seamless connectivity, enabling applications such as XR, immersive communications, and massive IoT. Achieving these goals requires addressing major challenges in spectrum use, energy efficiency, coverage, and resilience. A key enabler for the multi-functional 6G networks (ISAC, wireless power transfer and physical layer security) will be the FR3 mid-band (7–24 GHz), which balances coverage and capacity better than FR1 or FR2. QUEST-6G introduces a framework combining reconfigurable intelligent systems, XL antenna arrays, new transmission modes, and quantum technologies to realize a multi-band, multi-functional 6G vision. XL arrays extend near-field regions, enabling beamfocusing with angular and range control for spatial multiplexing and interference management. Cell-free architectures with distributed RUs in WD-MIMO configurations, aligned with the ORAN paradigm, create hybrid near/far-field (NF/FF) conditions requiring new signal processing methods. The project designs reconfigurable, software-defined XL arrays as well as compact beam-steering frontends; develops hybrid NF/FF beamforming algorithms; and proposes adaptive waveforms, frame structures, and multiband coexistence schemes. It performs NF/FF FR3 channel sounding and modeling, implements an FR3 beamfocusing chip, and investigates accelerating “bending” beams. QUEST-6G proposes the integration of Quantum Technologies for accelerating the solution of optimization problems in the 6G environment. At system level, QUEST-6G applies quantum optimization and quantum ML for hybrid precoding, resource allocation, CSI prediction, and more, with deployment on both quantum platforms and edge devices. Finally, an AI-native intent-based RAN layer will translate high-level requirements into optimal configurations using semantic reasoning and explainable orchestration. Innovations will be validated via simulations, and PoCs.

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The IMT-2030 ubiquitous connectivity requires a combination of terrestrial and non-terrestrial access technologies. NTN provide service continuity and connectivity to rural and remote communities while maintaining user experience
consistency and playing a key role in disaster relief6. G-NTN2 NEXUS research, designs, assesses, and demonstrates
novel system-level techniques and reinforced TN-NTN integration for 3GPP 6G NTN to enable enhanced features, service capabilities, and performance for D2D and vertical markets, including PPDR, connectivity below 7.125 GHz broadband and additional service connectivity to vehicle/static-mounted devices for vertical markets, such as automotive, public safety, transportation, utilities, media/entertainment, backhauling, above 10 GHz This requires developing key features to ensure that 6G core technologies, architectures, and protocols at radio interface, network, and management levels can be used for TN and NTN to simplify management, mobility, multi-tenancy, E2E resource slicing, and service provision based on traffic-related parameters. The project-designed architecture embeds advanced and optimised multi-tenancy management and orchestration schemes supporting MNOs and SNOs resource sharing, dynamic and reconfigurable routing techniques and protocols in multi-layered/-domain systems, and advanced RAT enablers, including GNSS-free operations, PNT solutions, ISAC, and distributed beamforming.
Three PoCs are implemented: i) harmonized Sub-7 GHz Radio Access for TN-NTN; ii) harmonized NTN/TN PNT and Communications above 10 GHz for Direct-to-Mobile Platforms; iii) reconfiguration and orchestration of integrated TN-NTN for resilient and secure infrastructure.
The project ensures its global impact by coordinating with international and European initiatives, contributing to the IMT-2030 and 6G definition, and proposing, as a complement to IRIS2, new TN-NTN integrated infrastructures for service roll-out in the 2032-2035 timeframe

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6G-CATS will demonstrate an AI-powered, disaggregated and secure 6G optical infrastructure capable of supporting a wide range of end-user applications in a sustainable manner. It makes a concerted effort towards pairing high-speed optical access and metro technologies with real-time intelligence, end-to-end resiliency and native security. 6G-CATS will build on DSP-free quasi-coherent technology for unshared 50 Gb/s PON and filterless metro DWDM transmission, supported by 200 Gb/s LPO at the fronthaul. Optical multi-band switching will enable flexible networking and composability. An extension to the NTN domain will be made through drone-based free-space optics
For fiber-grade dual-connectivity beyond communication functions include multi-modal sensing capabilities and a multi-layered security framework. Network-wide ISAC, distributed fiber sensing and connected LiDARs will jointly enable (i) predictive maintenance for network elements and furniture, (ii) detection of physical risks, (iii) connected mobility, and (iv) unauthorized access. Trust enforcement is further propelled through a quantum-resilient infrastructure, which seamlessly integrates quantum functions in multi-purpose transceivers while provisioning synthesized quantum networks and end-to-end quantum-optic channels to handheld devices. A security continuum will be spanned through hybrid QKD/PQC schemes. Fine-grained personalization of the security level will be facilitated through AI-based intent translation.
All network functions will be orchestrated through an energy-aware AI framework that ensures dynamic optimization of both, cloud and network resources. Sustainable operation across diverse environments and use-cases will be based on energy-conscious resource selection. Enhanced AI/ML support will be integrated for three high-impact use-cases: connected mobility, 6G resiliency and service continuity, and secure automation. 6G-CATS will validate these in a Stream-C experimentation platform.

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The PAISES-6G project is at the vanguard of developing next-generation 6G infrastructures that are robust, secure, and intelligent. It aims to seamlessly integrate advanced AI/ML technologies to enhance connectivity and efficiency within 6G networks. Central to this initiative is establishing a comprehensive framework that supports the deployment of innovative 6G functionalities, ensuring adaptability and scalability essential for future technological demands.
At the heart of PAISES-6G is enhancing data privacy and security through digital twins that generate synthetic data for safe, robust testing of network functions. This approach mitigates risks to sensitive information by simulating real-world data scenarios. Additionally, the project prioritizes the efficient distribution and execution of Network Functions (xNFs) across the network, creating secure and flexible frameworks that facilitate seamless integration and operation. PAISES-6G also pioneers the implementation of quantum-ready encryption technologies to fortify networks against future quantum-level threats.
Another key aspect is the project’s advancement in network management through the secure, zero-touch deployment of AI algorithms across federated domains. This automation minimizes human error and enhances operational efficiency, enabling 6G networks to manage increased data volumes and complexity while defending against sophisticated cyber threats. These strategic efforts highlight PAISES-6G’s commitment to pushing the technological boundaries of 6G infrastructures, ensuring they are equipped to support a hyper-connected future with the highest security and efficiency
standards.

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SHIELD-6G aims to ensure reliable and secure service operation in 6G networks by developing an advanced Cyber Threat Intelligence (CTI) platform and AI-driven security framework. The project addresses the increasing complexity, attack surface, and automation demands of future 6G infrastructures, which will integrate cloud, edge, and non-terrestrial domains to support time-critical applications such as healthcare, immersive training, smart manufacturing, and maritime communications.
The project’s objectives are to: (1) design and implement a 6G-native CTI engine and intelligence workflows; (2) define an interoperable, trustworthy, and energy-efficient 6G security architecture; (3) develop AI-powered threat detection and resilience mechanisms; (4) enable end-to-end orchestration of multi-level security services across stakeholders; (5) create an AI-based testing, compliance, and auditing framework with digital twins and deception technologies; (6) validate solutions in cross-domain vertical use cases; and (7) contribute to global standardization, dissemination, and exploitation of SHIELD-6G will achieve these objectives by integrating federated learning, explainable AI, digital twins, honeypots, and large language models into a modular architecture that supports real-time CTI generation, adaptive orchestration, and privacy-preserving data sharing. The project’s methodology combines research and innovation with practical proof-of-concepts in realistic testbeds, ensuring measurable improvements in detection accuracy, latency, interoperability, trustworthiness, and energy efficiency.
The project directly contributes to the SNS JU Work Programme (Stream B, Reliable Service Operation) by advancing end-to-end security, resilience, and compliance capabilities for 6G, aligned with European priorities of sovereignty, privacy, sustainability, and global standardization leadership.

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The 6G telco cloud is poised to become a hybrid multi-technology environment, with communication, computing and acceleration resources increasingly being offered by hyperscalers and multi-MNO Federations, aiming to support the deployment of future-looking Digital Services. In order to succeed, the future 6G Telco Cloud is expected to converge Information Technology (IT) and Networking Technology (NT) platforms under a unified continuum of resources, while introducing full automation for managing their lifecycle. In order to make this vision a reality, SOVEREIGN-6G delivers the first 6G Telco Cloud in Europe, which will serve as the foundation of future-looking Digital Services aggregated and exposed by a groundbreaking Unified Service Platform. To this end, an evolable experimentation infrastructure is delivered, that integrates 6G sites from all over Europe and serves as a playground to test 6G breakthrough technologies for the future telco cloud. A Digital Service Orchestrator is also delivered, to provide SLA assurance over a dynamic compositioning of heterogeneous resources (e.g., compute, network, GPU) in this hybrid, multi-technology Telco Cloud Continuum environment. SOVEREIGN-6G is structured around 3 pillars:

Pillar 1 is Delivering a new Unified Service Platform, as a Digital Service Aggregator envisioned to operate in increasingly complex ecosystems involving multiple stakeholders;

Pillar 2 involves integrating IT, OT and NT platforms in an telco cloud continuum, alongside breakthrough 6G enablers; and

Pillar 3 delivers a Native AI edge, addressing distributed inference, sovereign Edge AI workloads acceleration, and physical awareness via multi-modal sensing.

Together these 3 Pillars that help address the main challenges that will mark the successful transformation of CSPs to DSPs.

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6G-CARE will deploy six use cases across trial sites in Belgium, Greece, France, the UK, Luxembourg, and Spain, each addressing a distinct healthcare challenge while assessing performance, sustainability, and scalability under real-world conditions.
Health care systems across Europe face increasing pressure from ageing populations, rising costs, and shortages of medical staff. At the same time, demand is growing for efficient, personalised, and accessible healthcare services, including in remote and emergency settings. 6G-CARE addresses these challenges by integrating advanced 6G enablers into a modular, interoperable platform co-designed with medical stakeholders to ensure clinical relevance and practical impact.
Healthcare is the primary vertical, with emergency response as a complementary focus, reflecting their shared need for AI-based, ultra-reliable, low-latency communications and secure data exchange. The project adopts a framework based on existing SNS and open-source platforms, enabling seamless integration with healthcare systems and ensuring reusability for other verticals. Each trial site will conduct end-to-end testing to validate KPIs and KVIs, with strong emphasis on societal, environmental, and economic sustainability 6G-CARE delivers 16 technology components, from deployable private 5G/6G networks and quality-on-demand orchestration to AI wearables, VR rehabilitation, holographic communication, and digital twin-based trial management.
It will feed real-world requirements into standardisation while ensuring outcomes are market-ready through strong SME, healthcare, and industry involvement by combining advanced 6G enablers with socio-economic evaluation, 6G-CARE will demonstrate better outcomes for the healthcare sector, lower environmental impact, and greater system resilience. Its results will serve as a blueprint for scaling secure, sustainable e-health services across Europe, strengthening EU leadership in 6G-enabled healthcare.

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6G-Holonet envisions a transformative, cross-sector ecosystem that pioneers the use of 6G technologies to unlock the full potential of immersive and interactive media across three rapidly expanding verticals: agile volumetric media production, live sports and entertainment engagement, and cultural heritage preservation. While 5G has already started to explore these domains, current solutions remain fragmented, infrastructure-heavy, and economically unsustainable. 6G-Holonet breaks this ceiling by developing a common AI-native, communication–computation–control fabric that supports glass-to-glass workflows, from capture to rendering to distribution. This vision embraces uplink-centric architectures, real-time orchestration, and energy-aware operation, enabling affordable and scalable production methods for both large-scale events and smaller cultural or studio settings.
Each vertical presents unique challenges in terms of technical performance, user expectations, and market dynamics, yet all converge on the same fundamental requirements: ultra-low latency, uplink-intensive capacity, and sustainable compute-connectivity integration. By addressing these shared needs within a modular and standards-aligned 6G architecture, 6G-Holonet enables: Cross-domain technology transfer, ensuring innovations developed in one vertical can be reused in others.
• Platform scalability and openness, allowing SMEs, cultural institutions, and media producers to build upon common components, shared validation of 6G enablers, grounding long-term standardisation and industrial adoption.
Ultimately, 6G-Holonet will not only demonstrate cutting-edge 6G technologies but also foster sustainable business models and collaborative ecosystems that will endure beyond the project and contribute to Europe’s global leadership in immersive communications.

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PRIME-6G (Pilot for Resilient Industrial Manufacturing Environments with 6G Technologies) addresses the enablement of key 6G technologies in advance manufacturing vertical industries towards production batch one. The project will develop and validate an integrated E2E Sustainable Platform Blueprint integrated 6G architecture based on a Cloud-Edge Continuum, enabling seamless and agile service provisioning. This is achieved through two core industrial use cases. The AURORA use case focuses on i) AI-driven Network and Compute Optimization for Collaborative Industrial Agents, ii) End-to-End Deterministic Connectivity over Hybrid Domains, and iii) Cobotic control placement across the Telco Edge Cloud. The SENTINEL use case explores the use of Real-time Multi-modal sensor fusion with ISAC for Robot Control and Environment Mapping to create dynamic, real-time digital twins of industrial environments, enhancing situational awareness and operational efficiency. The project will conduct a TRL 7 pilot at the ARENA 2036 facility in a real-world manufacturing environment. This trial will serve as a key demonstration of the PRIME-6G capabilities towards the flexible factory, validating SNS Key Value and Performance Indicators (KVIs and KPIs). A strong focus will be placed on showcasing the solution’s tangible benefits to key manufacturing stakeholders, providing a clear business case and facilitating the creation of a sustainable business ecosystem. By delivering a mature, close-to-market solution, PRIME-6G will ensure the wide exploitation of 6G technologies in the industrial vertical, addressing specific industry pain points and paving the way for future innovations.

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The impact of successive generations of mobile networks in industry has always been strong on the Transport and Logistics (T&L) sector, as it emerges naturally as one of the areas where transformation runs deeper, and efficiency and security gains have been increasing since it was first possible to make a phone call on the move. Still, it is also a sector where all kinds of mobility challenges keep bringing requirements for new functionalities and services to enable automated transportation and with 5G, many issues were addressed. Besides increased bandwidth, reduced latency, and higher connection densities, the expansion of the ever-increasing processing capacity towards the Edge of the network and the support to non-public networks are examples of features of major importance to the automation of the T&L sector. Meanwhile, as 6G standardization progresses, the promise of even more bandwidth, less latency, higher density, or NTN integration, will bring new opportunities towards better efficiency and automation, and will enable new and better services.
GENIUS will integrate logistics, multimodal transport and automation within the 6G ecosystem to deliver transformative benefits across efficiency, sustainability, and resilience of supply chains. Ultra-reliable low-latency communications will enable continuous monitoring and synchronization of goods across heterogeneous transport modes, supporting seamless coordination at hubs such as in a crowded city, ports and airports. Leveraging 6G-enabled digital twins and AI-driven optimization, multimodal networks will dynamically adapt to disruptions, optimize mode-shifting decisions, and reduce both operational costs and carbon emissions in line with European Green Deal objectives. These capabilities will strengthen Europe’s strategic autonomy in logistics while enhancing competitiveness and resilience in global supply chains.

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