This deliverable establishes the internal governance and quality framework for the FREE6G-RegEdge project, defining shared rules for CTTC and the subcontracted partner to ensure high-quality outcomes and serving as a live document updated twice during the project. It outlines project roles, responsibilities, and contacts; describes internal communication tools, shared resources, and file-naming conventions; and defines quality assurance and control methods for key outputs such as deliverables and publications. It also classifies existing and project-generated research data, mapping them into a structured database, and summarizes dissemination activities alongside data management, archiving, preservation, and IPR procedures. In addition, it details compliance measures with GDPR and presents a consolidated risk analysis, including affected work packages, impact levels, and mitigation actions.

This deliverable additionally provides updated definitions of management roles and responsibilities, a detailed description of project resources including the shared collaboration space, and a substantially expanded Data Management Plan. The DMP now includes a structured inventory of all data types handled in the project, clear assignment of responsibilities for coordination, data ownership, access control, and technical support, and a comprehensive application of FAIR principles. It further details data security policies, organizational and technical controls, incident response, secure deletion, long-term preservation, and ethical and legal considerations. In addition, the deliverable formalizes quality control and quality assurance procedures not only for deliverables but also for publications, dissemination, and demonstration materials, and concludes with an updated risk analysis outlining identified risks and corresponding mitigation actions.

In addition to the elements already covered in earlier summaries, this deliverable reports significant updates related to project execution and societal impact. It documents delays across several technical activities, explains their technical causes, and formally justifies a six-month project extension, including updated planning for activities, deliverables, and milestones, while confirming that objectives, scope, and budget remain unchanged. It also provides a detailed assessment of the implementation and impact of the Gender Equality Plan, highlighting concrete achievements, monitoring indicators, and next steps aligned with Horizon Europe principles. Furthermore, it evaluates the Employment Plan, detailing measures taken to attract young talent, support STEM education, foster innovation, develop future skills, and stimulate direct and indirect employment. Finally, it updates the project risk analysis, identifying delays and architectural complexity as key risks, and confirms that mitigation actions and the approved extension have kept the project on track toward its objectives.

This deliverable presents two innovative Proof-of-Concepts (PoCs) for the FREE6G Regional Edge project, demonstrating the capabilities of cloud-native 5G networks integrated with MEC orchestration, network slicing, and zero-touch service management. The first PoC focuses on dynamic orchestration of 5G core and distributed UPFs with dedicated network slices, enabling flexible deployment, enhanced resource utilization, and customized network management. The second PoC addresses zero-touch service orchestration in automotive scenarios, implementing the follow-me concept to migrate infotainment services to edge servers along vehicle trajectories, ensuring uninterrupted service with low latency. Both PoCs leverage machine learning analytics for automated orchestration, closed-loop autonomy, and optimized resource usage. The document defines the technical requirements, KPIs, and design considerations for each PoC, detailing the role of the NearbyOne MEC orchestrator and its infrastructure prerequisites. Overall, the deliverable validates the feasibility, efficiency, and practical applicability of FREE6G Regional Edge technologies, highlighting their potential to advance 5G and beyond networks.

This deliverable presents a detailed overview of the integration and dynamic orchestration of the 5G Core Service-Based Architecture (SBA) at the Castellolí Small-Scale Test Site. It covers the implementation of the network infrastructure layer, including the 5G Radio Access Network, 5G Core deployment via Druid and NearbyOne orchestrator, and the transport network, alongside the MEC, orchestration, and slice management layers. Key aspects of RAN, transport, and core network slicing are examined, as well as the role of the local cloud layer in enhancing performance and supporting edge applications. The document emphasizes how each layer contributes to efficient, reliable, and flexible 5G communications, providing a comprehensive resource for understanding the practical deployment, orchestration, and management of a small-scale 5G test network.

This deliverable (D3.2) presents the elastic MEC platform to be leveraged in the FREE6G-RegEdge project, focusing on enabling integrated orchestration and management of edge, cloud, and network resources. The platform is based on the proprietary NearbyOne tool, which allows automated end-to-end orchestration of services and network functions. The document aims to (i) describe the enabling technologies and potential architecture in the edge domain, (ii) provide technical details about NearbyOne and its interfaces for integration with cloud-native services and service-based 5G core architectures, and (iii) demonstrate compliance with standards such as ETSI MEC. The platform supports advanced MEC functionalities, including dynamic resource allocation, low-latency processing, and closed-loop AI/ML-driven automation, facilitating zero-touch service orchestration. By bringing computational resources closer to end-users, it ensures improved latency, scalability, and security while supporting emerging 5G and IoT applications. The deliverable also establishes a foundation for project use cases and future reports, focusing on deployment, automation, and updates required to accommodate FREE6G-RegEdge scenarios.

This deliverable (D3.3) presents the initial progress on data-driven automation and zero-touch reconfiguration in the FREE6G-RegEdge system. Its objectives are threefold: i) to introduce the NearbyOne observability stack for collecting key metrics across the infrastructure and applications; ii) to detail the envisioned closed-loop orchestration framework, encompassing the full zero-touch loop from metric collection and AI-based processing to actionable decisions executed by the orchestrator, including the required interfaces; and iii) to provide updates on preliminary technical work toward automated network and service orchestration, including a review of state-of-the-art approaches and initial proposals for network slice orchestration. The deliverable emphasizes the integration of AI and ML analytics for self-driven orchestration and closed-loop autonomy in elastic MEC environments, ensuring efficient resource utilization, low-latency operation, and scalability at the edge. It also lays the groundwork for future work, which will include advanced technical developments and PoC results demonstrating the effectiveness of the proposed automation and orchestration mechanisms.

This deliverable presents ReproRun, a flexible run-time framework for seamless reconfiguration of FPGA-based SoC functions in popular software-defined radio (SDR) platforms. ReproRun enables joint reconfiguration of programmable logic (PL) and processing system (PS) components, allowing updates or replacements of interdependent functions without interrupting other running processes. The framework leverages AMD-Xilinx tools, partial bitstreams targeting reconfigurable regions (RRs), and a novel Run-timE firmWare reconfIguration contRollEr (REWIRE), which employs asymmetric multiprocessing (AMP) and OpenAMP for efficient inter-processor communication. Partial bitstreams and firmware are fetched remotely via TFTP, supporting dynamic adaptation in FPGA accelerators for disaggregated Open RAN equipment, adaptive radio access technologies, and Edge servers hosting virtualized functions. ReproRun was validated on two SDR platforms with different FPGA devices, demonstrating its flexibility to handle varied architectures, firmware environments, and hardware constraints. Its capabilities make it a key enabler for runtime agile computing in 5G and beyond, supporting adaptive RAN functional splits, field-upgradable FPGA accelerators, and efficient resource orchestration at the edge.

This deliverable presents the final report on the integration and dynamic orchestration of the 5G Core Service-Based Architecture (SBA) implemented by the FREE6G-RegEdge project. It provides a detailed overview of the small-scale 5G test network deployed at the Castellolí site, covering the end-to-end architecture, including the 5G radio access network, edge nodes, and 5G Core with distributed UPFs. The report details the computing and network infrastructure, as well as the orchestration layer that enables dynamic management of 5G services. In particular, it highlights the integration between the NearbyOne orchestrator and 5G network functions via RAEMIS REST APIs, allowing real-time orchestration and automated control. Overall, the deliverable demonstrates how the Castellolí test site supports experimentation with dynamic SBA orchestration and validates the practical deployment of end-to-end 5G network functionalities.

This deliverable presents the final report on the Elastic MEC platform developed within the FREE6G-RegEdge project, providing integrated orchestration and management of communication, storage, and computational resources by leveraging cloud-native technologies to enable optimal resource utilization at edge nodes. The platform introduces advanced capabilities, including end-to-end orchestration from design to operation, near zero-touch provisioning for infrastructure management, and dynamic resource and application reconfiguration. This report extends the initial MEC platform report (D3.2) by describing newly developed interfaces to enhance integration with external third-party systems and by discussing the compliance of the platform with ETSI standards, specifically ETSI MEC and ETSI ZSM. The deliverable highlights how the platform supports dynamic migration of application functions across the edge, enabling self-driven orchestration based on machine learning analytics, closed-loop autonomy, and zero-touch reconfiguration across all infrastructure layers. Overall, the deliverable demonstrates the readiness of the Elastic MEC platform for deployment and experimentation in FREE6G-RegEdge, forming the foundation for future integration, demonstration, and system testing activities, which will be reported in deliverable D4.1.

This deliverable presents the final report on data-driven network orchestration and automation for the FREE6G-RegEdge system, addressing the complexities and stringent requirements of 6G networks and network slicing scenarios, where traditional human-centric orchestration approaches are insufficient. To optimize network performance under these conditions, the deliverable proposes intelligent data-driven orchestration that integrates data analytics and artificial intelligence (AI) to automate and optimize network and service management processes. Building on the initial report (D3.3), this deliverable introduces a high-level discussion on data-driven orchestration and presents an intelligent reinforcement learning-based policy gradient algorithm for joint placement and reconfiguration of User Plane Functions (UPF) and service applications across multi-slice scenarios. Furthermore, recognizing that 6G services may span multiple administrative domains, a cloud-native orchestration framework for network slice federation between operators is developed, aligned with the Operator Platform concept and 3GPP service slice model. Proof-of-concept performance evaluations demonstrate significant gains, including analysis of federation deployment times and the impact of post-federation slice deployments on operator infrastructure and end-user performance, confirming the effectiveness of the proposed intelligent and zero-touch orchestration approaches for complex 6G network environments.

This deliverable (D4.1) provides a comprehensive report on system integration, testing, infrastructure setup, and deployment for the FREE6G-RegEdge elastic MEC platform. It details the steps for provisioning infrastructure, deploying the orchestrator, integrating third-party components (Nearby Blocks), and onboarding distributed edge clusters. The report includes integration tests, interface validation, and telemetry setup, ensuring that containerized network functions (CNFs) and machine learning–driven orchestration components operate correctly and interact seamlessly. It also documents the deployment of the Elastic MEC solution using cloud-native technologies, focusing on dynamic resource allocation, adaptive service management, and intelligent orchestration. This deliverable serves as a technical blueprint for deploying and validating the FREE6G-RegEdge platform, ensuring readiness for subsequent demonstrations and PoC implementations.

This deliverable presents the Proof-of-Concept (PoC) for the FREE6G-RegEdge project, showcasing the Elastic MEC orchestration platform deployed at edge nodes. The PoC validates the integration of AI-driven orchestration for dynamic resource management and intelligent reconfiguration across all infrastructure layers. It demonstrates core network slice lifecycle management and real-time slice reconfiguration under time-varying traffic conditions. The PoC also highlights the onboarding of distributed cloud-native infrastructure and the platform’s scalability through Nearby Blocks integration. Detailed steps for infrastructure deployment, orchestrator setup, and component integration are provided. AI agents were trained to optimize orchestration, and their performance was validated through demo scenarios. Results confirm the platform’s ability to efficiently allocate resources, manage slices, and adapt to changing network demands. The PoC proves the effectiveness of Elastic MEC combined with machine learning and cloud-native technologies. Integration tests and demonstration outcomes validate platform functionality and reliability. Overall, this deliverable confirms the platform’s readiness for real-world deployment in 6G edge environments.

In this deliverable, the project documents all dissemination and communication efforts conducted during the first half of FREE6G-RegEdge. Activities targeted both technical and non-technical audiences to share project progress and results. A dedicated project website was created to provide accessible information and enable direct contact with the FREE6G teams, while social media channels, such as LinkedIn, were used to broaden outreach. Scientific dissemination included publications in journals, presentations at international conferences and workshops, invited talks, and supervision of Master’s and PhD theses. Other initiatives involved participation in industry events, contributions to associations, presentations in standardization groups, and organization of project-related events. The deliverable also highlights broader internationalization and impact-boosting activities aimed at raising project visibility. These coordinated efforts ensure that project outcomes are effectively communicated, supporting knowledge transfer, stakeholder engagement, and community building. Overall, D5.1 demonstrates a structured approach to both dissemination and communication, laying the foundation for continued visibility and impact throughout the project.

Deliverable D5.2 outlines the exploitation strategy and intellectual property rights (IPR) management for Nearby Computing (NBC) within the FREE6G-RegEdge project. It emphasizes the integration of communication, storage, and computational resources through advanced Multi-Access Edge Computing (MEC) and network slicing management, leveraging machine learning and multi-objective optimization. The project introduces Elastic Edge Computing, enabling dynamic migration and disaggregation of application functions across the edge, RAN, and core cloud, optimizing latency and load balancing. The exploitation plan is structured along three directions: market exploitation to engage new stakeholders, research exploitation to generate publications and future projects, and product exploitation to enhance NearbyOne’s market position. The deliverable also introduces basic IPR management concepts, providing a framework for securing innovations, including patent filing processes such as invention disclosure, prior art search, internal review, and filing strategies. Early research contributions and potential exploitation actions are summarized, emphasizing the link between technical advancements and strategic intellectual property management. The document highlights the need to continue promoting FREE6G-RegEdge outputs to the research and industrial communities.

In this deliverable, the FREE6G-RegEdge project reports on dissemination and communication activities conducted during the second half of the project. Efforts focused on engaging both technical and non-technical audiences, ensuring broad visibility of the project’s objectives, outcomes, and societal impact. The project website was regularly updated, complemented by active outreach via professional social media channels to promote results and facilitate interaction with diverse stakeholders. Scientific dissemination included publications in international journals, conference presentations, invited talks, white and position papers, and academic contributions such as theses. Industry engagement was intensified through participation in major events, exhibitions, and workshops, strengthening liaisons with European players and promoting technology transfer. Contributions to standardization bodies and industry associations helped position the project’s innovations in the broader 6G ecosystem. Educational and public outreach initiatives targeted students and the general public, raising awareness of the societal benefits of 6G technologies. Overall, the deliverable highlights the strategic coordination of dissemination under WP5, emphasizing collaboration, internationalization, and impact maximization. The activities ensured that project outcomes reached relevant stakeholders, supporting both immediate and long-term visibility and uptake of FREE6G-RegEdge innovations.