OPEN CALL 3: facts and figures

Vertical Replicability Enablers

The third 6G-XR Open Call, “Vertical Replicability Enablers,” invited innovators to access 6G-XR infrastructure and testbeds to deploy and validate XR use cases—such as real-time holography, immersive technologies, and energy measurement frameworks—contributing to the development of the 6G era.

For the third Open Call, out of these thematises, in particular proposals on the topics and subtopics in the following AREAS (and 6G-XR Infrastructures) are requested:

1

Real-Time
Holographic
Communications

2

Immersive
Services

3

CCAM

4

Collaborative 3D
Digital Twin-like
Environment

5

Energy
Measurement
Framework for
Energy
Sustainability

6

Artificial
Intelligence

7

Open Topic

The seven focus areas are further broken down into the following subtopics:

  1. Full-fledged multimedia platforms / services 
  2. Training and education
  3. Culture visits and events, by using immersive platforms 
  4. Smart Industry / Spaces, by using immersive platforms
  5. Interactive multiuser multi-sensory experiences
  6. Energy immersive platforms for virtual testing and evaluation
  7. CCAM in micro-mobility scenarios
  8. Simulation and prediction in Industry
  9. Operational training, remote collaborative operations in education
  10. Visualization and data sharing
  11. Utilization of open data in the optimization of RAN energy usage
  12. End-to-end energy budgeting
  13. Visualization of mobile network measurement data
  14. Calibrations, validations, verification of energy measurement data
  15. AI supervised manufacturing
  16. Distributed AI for Energy
  17. Open vertical replicability
Applications received
Eligible applications received
Type of organisation with eligible applications
Countries with eligible applications
6G-XR infrastructure used
Awarded projects

Discover here more facts and figures about the awarded projects:

Type of organisation

  • SME7
  • Research/scientific organisation2
  • Academia3

Geographical distribution

  • Spain4
  • Greece4
  • Luxembourg1
  • Italy1
  • Serbia1
  • Portugal1

6G-XR infrastructure

  • North Node, OULU 5GTN3
  • North Node, VTT 5GTN3
  • South Node, 5TONIC3
  • South Node, i2CAT testbed3

Awarded projects

Discover here the success stories of the twelve selected projects:

Proposal Name: 6G4proQ
Full title: 6G-enabled and AI-based proactive quality control in manufacturing domain: experimentation in the metal cutting processes
Organisation: Nissahub (SME) – nissahub.com
Country: Serbia

Topic: TOP4.1 – AI supervised manufacturing
6G-XR Facilities: North node – OULU 5GTN

The project focuses on developing and validating an AI-driven quality control system for manufacturing, capable of real-time anomaly detection using 5G infrastructure. Modern manufacturing environments generate dynamic, multi-modal data (e.g., from cameras), requiring frequent model updates and low-latency responses.

The solution aims to proactively detect both known and previously unseen anomalies using a deep learning-based method developed in the AI4Resiliance system (part of the D2Port Framework). The system will be tested in complex manufacturing settings (e.g., metal cutting lines), evaluating its performance under simultaneous unusual conditions. It also explores edge and remote AI deployment and verifies the system against SLAs and KPIs for business viability.

Proposal Name: AViD-NMP
Full title: Adaptive Video Delivery for Network Music Performance
Organisation: AUEB-RC (Academia) – rc.aueb.gr
Country: Greece

Topic: TOP1.2 – Training and education, by using immersive platforms that support rich interaction and collaboration between distributed users
6G-XR Facilities: South node – 5TONIC

The AViD-NMP project explores Network Music Performance (NMP) using the 6G-XR infrastructure, focusing on ultra-low latency and high-bandwidth requirements that are only achievable with 5G/6G networks. It integrates audio, video, and volumetric data for immersive, XR-enabled multiparty NMP sessions. To meet performance needs, the project leverages 5G RAN for low-latency communication and MEC (Multi-access Edge Computing) resources for real-time media processing, including volumetric video and SFU/MCU bridging close to end users.

The primary goal is to support training and education, evaluating QoS and QoE of XR-enabled NMP across advanced 6G-XR testbeds. The project will showcase a fully operational multiparty NMP setup as a demonstrator of 5G/6G and XR’s potential for enhancing real-time, immersive remote collaboration.

Proposal Name: DREAMS
Full title: Dynamic Radio Access Network (RAN) Energy-Aware Management System
Organisation: Future Connections España Soluciones de Conectividad SL (SME) – futureconnections.com
Country: Spain

Topic: TOP3.1 – Utilization of open data in the optimization of RAN energy usage
6G-XR Facilities: North node – VTT 5GTN

DREAMS integrates microgrid control systems with flexible RAN management to optimize energy use in telecom networks. The system uses DREAMS Agents for distributed, intelligent edge-cloud energy control, incorporating data like renewable energy forecasts, electricity prices, CO₂ emissions, and network load to balance performance, efficiency, and cost.

A central DREAMS Controller manages policies and provides real-time monitoring across the network.
DREAMS will test a forecast-driven decision algorithm within DREAMS Agents. This algorithm analyzes energy and network data to optimize RAN configurations, with testing planned on an O-RAN deployment within the North Node. It will also develop visual dashboards for real-time monitoring of energy usage, production, and network performance to validate the algorithm’s effectiveness.

Proposal Name: EMASS
Full title: Energy measurement as a service
Organisation: GRIDNET (SME) – gridnet.gr
Country: Greece

Topic: TOP3.4 – Calibrations, validations, and verification of energy measurement data
6G-XR Facilities: North node – VTT 5GTN

Energy consumption and carbon footprint are critical considerations in O-RAN-based telecom systems, influencing costs, sustainability, and scalability for future 5G/6G networks. O-RAN’s modular, software-driven architecture enables real-time energy management aligned with global carbon goals.

The 6G-XR project builds on this by introducing an intelligent energy measurement framework for O-RAN test sites, aiming to optimize energy use in XR applications and support integration of sustainable energy sources. However, challenges remain in verifying whether energy data accurately reflects network conditions. Proper calibration and validation are essential but underdeveloped. To address this, an experiment using the O-RAN (North Node / VTT 5GTN) testbed will deploy AI-powered energy meters and centralized data systems to ensure: Validation – Accurate reflection of network processes, Verification – Reliable and precise metering, and Calibration – Standardized measurements. The modular design supports scalability, making it applicable across other facilities for enhancing energy-efficient telecom systems.

Proposal Name: EVIT
Full title: Electric Vehicle Infrastructure Twin : EVIT
Organisation: Parity Platform P.C. (SME) – parityplatform.com
Country: Greece

Topic: TOP1.4 – Smart Industry / Spaces, by using immersive platforms that support rich data sharing, manipulation of digital twins, and/or remote collaboration
6G-XR Facilities: South node – 5TONIC

EVIT enhances electric vehicle charging station (EVCS) installations by integrating Augmented Reality (AR) with 3D scanning and real-time diagnostics to support electrical engineers. The system improves safety, reduces errors, and boosts efficiency during complex installations.

Key features include:live 3D scans using devices like the Creality CR-Scan Ferret Pro or smartphones, real-time feedback and safety alerts via 5G to an edge server, AR-guided instructions for accurate installation.
Testing is conducted in the South node, leveraging its private 5G network and edge computing for sub-10ms latency, enabling: Seamless streaming of 3D scans and MR annotations, Synchronization with IoT platforms (e.g., EV Loader) to display charger status, Immediate alerts and system readiness updates within the AR field of view.

EVIT combines AR, 3D scanning, and 5G to deliver a safer, smarter, and more efficient EVCS installation process.

Proposal Name: FSXR
Full title: Fluid Simulation in eXtended Reality
Organisation: Luxembourg Institute of Science and Technology (Research/scientific organisation) – list.lu
Country: Luxembourg

Topic: TOP2.3 – Visualization and data sharing; visualization of complex system and environment, real-time data dashboard in smart media, smart city, smart agriculture. 
6G-XR Facilities: North node – OULU 5GTN

Extended Reality (XR) devices face significant limitations in running fluid simulation (FS) algorithms due to their high computational demands and the difficulty of maintaining real-time performance. To address this, we previously proposed offloading the particle position computations of the Position Based Fluids (PBF) method to a remote server, resulting in improved frame rates compared to fully local processing on devices such as the HoloLens v2. However, local rendering continued to constrain performance.

The main challenge for remote rendering lies in the large size of rendered frames that must be transmitted to the XR device. To overcome this, FSXR leverages 6G-XR infrastructure, providing low latency and high bandwidth communication between the server and XR devices. This enables seamless, real-time fluid simulation visualisation, paving the way for more advanced and interactive XR applications.

Proposal Name: IMMVIEX
Full title: 6G-XR-enabled IMMersive VIsiting EXperience
Organisation: Universidad Politécnica de Madrid (Academia) – upm.es
Country: Spain

Topic: TOP1.3 – Culture visits and events, by using immersive platforms that support real-time tele-portation to a virtual place or an event, and rich interaction therein
6G-XR Facilities: South node – i2CAT testbed

IMMVIEX aims to showcase and evaluate a multi-user virtual cultural tour experience of a monument. The tour features a 3D model, user avatars, and a live presenter—teleported into the scene via a volumetric video system (FVV). Remote users, wearing VR headsets, navigate the immersive Unity-based environment, with content streamed and processed over 5G/6G networks using edge servers and WebRTC. A gesture recognition module enables presenter interaction and session control.

This 6G-XR-enabled setup demonstrates the potential of next-gen networks for delivering real-time, interactive XR applications in culture, education, and training.

Proposal Name: LCEVC-6G-XR
Full title: LCEVC for Enhanced 6G-XR Holographic Streaming Services
Organisation: Fluendo S.A. (SME) – fluendo.com
Country: Spain

Topic: TOP1.1 – Full-fledged multimedia platforms / services providing new encoding and streaming solutions for Holographic Communications
6G-XR Facilities: South node – i2CAT testbed

The proposed experiment aims to advance holographic communication platforms by integrating the MPEG-5 Low Complexity Enhancement Video Coding (LCEVC) standard. LCEVC is an innovative enhancement layer that enhances the performance of base codecs without replacing them, thus ensuring backward compatibility. By enhancing widely used codecs such as H.264, LCEVC bridges the gap between legacy solutions and next-generation XR applications.

This integration improves encoding and streaming performance for high-resolution, immersive multimedia applications in real-time holographic communication scenarios.

Proposal Name: LEARN-6G
Full title: Learning with Holograms over future 6G networks
Organisation: Universitat Politecnica de València (Academia) – upv.es
Country: Spain

Topic: TOP1.2 – Training and education, by using immersive platforms that support rich interaction and collaboration between distributed users
6G-XR Facilities: South node – i2CAT testbed

Real-time holographic communication is revolutionizing remote interaction by enabling immersive experiences essential for future collaboration and “teleportation” applications. However, deploying these systems at scale poses technical challenges, particularly around performance metrics like bitrate, latency, and reliability. To address these, telecom and standards bodies (e.g., ITU-R IMT-2030, 5G-MAG, 3GPP) are defining requirements for next-gen networks that can support immersive technologies.

LEARN-6G involves a cross-site education and training use case between UPV and i2CAT’s South Node, using technologies like edge computing, network slicing, and federated networking to enable real-time holographic communication. UPV will provide its immersive communications lab and private 5G network, integrated with i2CAT’s infrastructure and commercial off-the-shelf (COTS) hardware. The goal is to demonstrate real-world feasibility, gather insights into quality of service (QoS) and quality of experience (QoE), and validate the 6G-XR platform.

Proposal Name: MechEye
Full title: Industrial Machine Sentinel
Organisation: INESC TEC (Research/scientific organisation) – inesctec.pt
Country: Portugal

Topic: TOP4.1 – AI supervised manufacturing
6G-XR Facilities: North node – OULU 5GTN

The MechEye project is a proof-of-concept system designed to enhance industrial safety and efficiency by combining video analysis, object detection, and contextual data. It aims to proactively detect manufacturing errors using AI-driven sensor processing. Given the system’s high compute and bandwidth demands, the project will benchmark its performance across different edge computing scenarios, exploring trade-offs between compute placement, communication, and latency.

MechEye represents a relevant future industrial workload, and its experimentation will be supported by 6G-XR infrastructure, which offers advanced edge computing, high-capacity networks, and ultra-reliable low-latency communication. The results will inform the development of next-gen cloud/edge AI solutions for industrial environments..

Proposal Name: RACE-6G
Full title: Robotic Autonomous agents with Cognitive Enhancements over 6G
Organisation: Buontech Solutions srl (SME) – buontech.com
Country: Italy

Topic: TOP4.1 – AI supervised manufacturing
6G-XR Facilities: North node – VTT 5GTN

RACE-6G addresses modern manufacturing challenges—such as rapid product changes and mass customization—by using LLM-powered multi-agent AI systems to coordinate factory and warehouse robots in real time. Running on GPU-powered edge servers within a 5G network, the system enables dynamic task allocation, HD video streaming, and seamless robot integration, minimizing downtime and supporting scalable, reconfigurable production. Key features include Plug & Produce, self-learning, and centralized multi-step planning.

The experiment, to be conducted at VTT 5GTN infrastructure, will demonstrate how 5G/6G connectivity, edge computing, and network slicing enable ultralow latency and high-throughput operations for AI-supervised robotics. RACE-6G contributes to 6G-XR goals by showcasing a replicable model for intelligent, adaptive manufacturing and advancing Europe’s leadership in Industry 4.0 innovation.

Proposal Name: SafeDriveXR
Full title: Robotic Autonomous agents with Cognitive Enhancements over 6G
Organisation: AviSense.ai (SME) – avisense.ai
Country: Greece

Topic: TOP1.7 – Cooperative, Connected and Automated Mobility (CCAM) in micromobility scenarios
6G-XR Facilities: South node – 5TONIC

SafeDriveXR aims to enhance road safety by developing a 5/6G-enabled system that integrates Cooperative Intelligent Transport Systems (C-ITS) with Extended Reality (XR) interfaces for Connected and Automated Vehicles (CAVs).

The project leverages real-time XR visualizations of traffic, road conditions, and obstacles to boost driver situational awareness, decision-making, and response times. Using heterogeneous devices, distributed signal processing, and cloud-edge coordination, SafeDriveXR ensures low-latency communication and meets human reaction time requirements. It also focuses on accurate detection of vehicles, road hazards, and Vulnerable Road Users (VRUs), while employing adaptive XR interfaces and QoE evaluation to personalize information delivery based on user context. The solution supports the EU’s vision for scalable Cooperative, Connected, and Automated Mobility (CCAM).