2025 Catalyst Projects

See Innovation Come to Life

At the heart of innovation at DTW Ignite, our 50+ Catalyst projects will debut their groundbreaking innovations live in the Quad and on the Innovation Arena stage.
Harnessing the collaborative global force of over 1000 industry minds from 250 organizations, our Catalyst project teams are pioneering solutions to directly impact TM Forum's Missions of AI & Data, Autonomous Networks, and Composable IT & Ecosystems to propel industry innovation and growth.
Experience first-hand their inventive and trailblazing demonstrations. Delve into the challenges tackled, use cases explored, and solutions forged. Connect with these visionaries to discover how you can leverage their achievements to align with your business objectives and advance future outcomes.

Browse Catalyst Projects

AI-powered ODA in a Box for B2B2X

Telecom companies are increasingly adopting AI-driven composable software to enhance BSS/OSS agility, AI-powered operations, and scalability. The market for composable software ecosystems is growing rapidly as businesses seek more flexible, scalable, and modular solutions. Composable platforms allow companies to build applications using interchangeable components with Open APIs, making it easier to adapt to changing business needs. In response to this need, TM Forum created the Open Digital Architecture (ODA) building a suite of ODA components which perform BSS and OSS functions. The next step from ODA components is to deliver a fully defined “ODA in a Box.” ODA In a Box is a modular, deployable package that embodies one or more pre-integrated ODA Components, designed according to TM Forum's LEGO-wise architecture principles. It provides a cohesive, self-contained unit of functionality that is: * Composable: Built as a "LEGO block" in the ODA architecture, enabling plug-and-play integration with other ODA components. * Pre-integrated: it aggregates multiple ODA components where needed, manages interdependencies internally, and ensures the external interface remains clean and compliant. * Canvas-ready: Deployable on a reference ODA Canvas (cloud-native environment), supporting lifecycle management and orchestration. * API-driven: It exposes all its capabilities through TMF Open APIs, ensuring interoperability and automation. * Encapsulated Complexity: Any internal dependency among included components is abstracted from the rest of the system, enabling a simplified and consistent external behavior. AI-powered ODA in a Box for B2B2X Catalyst delivers multiple use cases to depict the usage of ODA components that enable an operator to quickly deploy an AI-powered capability. Each use case integrates in “boxes” from multiple vendors to enable a B2B2X solution. For example, a cloud connectivity service at the edge delivered by a CSP includes a partner supplied cloud capability and is sold to an enterprise. UC 1 – Lead to Order (Pre-Sales & Sales Process) In the B2B2X market, sales leads emerge and vanish rapidly, making them difficult to capture. The sales team needs an efficient way to capture and track these leads. The conversion rates from lead to opportunity and from opportunity to order are low. When the SLA enterprise order fulfillment does not meet customer expectations, we need to find another solution for the pre-sales and sales processes. ODA in a Box facilitates the creation of AI copilot/agent-driven pre-sales and sales processes, expediting order implementation and integration. Our goal is to show that pre-sales is enhanced by implementing a Gen AI copilot/agent within the ODA Boxes. Utilizing the B2B sales knowledge from the telco sales team, the RAG is updated through a knowledge management component and the recommendation management component to enhance the lead to opportunity to quote process enabling the appropriate solution recommendation for quick order creation utilizing product catalog component, product order caption component, and product order delivery and orchestration components. Each ODA in a Box communicates via the TMF Open APIs to conclude the process of orchestration and inventory management. AI-driven operations and recommendations leads to a higher sales conversion rate. Revenue growth is achieved through the optimization of pre-sales, sales, and post-sales activities. Costs are reduced through agile integration within the boxes and improved coordination between them. Time to market is decreased thanks to pre-defined and tested boxes. UC 2 – Idea to Cash The process of preparing a new product offering is time-consuming and requires considerable CSP product management effort. Designing offers that meet market demand is always a challenge. Time to market for new offers doesn't usually meet marketing expectations. This use case utilizes an AI-driven offering design delivered through an integrated ODA in a box solution. The LLM-based AI copilot for intelligent B2B offering design contains three functions delivered by ODA components as follows: * Offering knowledge using “TMF060 Knowledge Mgmt.” * Offering proposal using “TMFC050 Recommendation Mgmt.” * Offering market performance prediction using “TMFC058 Product/Sales Performance Mgmt.” This ODA in a Box is then combined with another vendor’s ODA in a Box with product configuration and catalog management to enable idea to cash. The value of this B2B2X solution is improved accuracy of the new offerings for the specific niche market or the target customer. We are allowing “easy-to-do” offering design and testing and reduces the time to market for new offering releases. What does this mean for DTW Copenhagen? For DTW, this project built working demonstration of ODA-in-a-Box — utilizing the ODA architecture, designed for faster deployment, ease of scalability, and newly AI-powered. By leveraging macro components, CSPs will be able to adapt quickly to new technologies and growing connectivity demands. Please come see us in the Moonshot Catalyst area at DTW!

URN: M25.0.779

Project details

ODE-led Techco transformation achieves sustainable business leap

This Catalyst demonstrates how the Open Digital Experience (ODE), advanced technologies, and ecosystem collaboration enable techcos to transform business sustainability. It uses strategic architectural shifts to improve service delivery, competitiveness, and long-term growth in a rapidly evolving telecom landscape. The project applies ODE principles to modernise engagement channels, streamline backend operations, and enable modular, agile service design. This approach improves time-to-market, enhances customer satisfaction, and supports continuous innovation across digital channels. Intelligent automation, standardized APIs, and cloud-native platforms ensure operational agility and scalability. Through this, the Catalyst aims to demonstrate the virtuous cycle of ecosystem collaboration. By partnering across digital value chains, techcos can co-create services, expand addressable markets, and reduce integration friction. Open interfaces and interoperable frameworks support this shift, enabling faster onboarding and richer service combinations.TM Forum’s Open Digital Architecture (ODA) underpins the project, with industry standards applied to future-proof implementation and reduce transformation risk. Above all, the Catalyst aims to demonstrate how techcos can drive growth and cost optimisation through structural change—not short-term tactical fixes. The project team will measure performance across four core outcomes. These are adaptive business positioning, improved customer experience, operational efficiency, and collaborative ecosystem enablement. These metrics reflect the need for measurable, sustainable value creation and offer the industry a benchmark for future implementations. ODE is not a front-end refresh, but a foundational shift for competitive advantage in the digital era. Through this lens, the industry can move beyond point solutions toward a strategic framework for enterprise-wide evolution.

URN: C25.0.833

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AI-powered end-to-end solution for customer experience

According to McKinsey, contribution of network experience for customers choosing their network provider or churning is close to 20%. Advancements in AI empower telecom operators to better understand individual customers' network experiences, enabling ROI-maximizing capital allocation and improved reliability. The challenge lies in comprehending usage patterns and connectivity performance from the end-user's perspective, all while optimizing network quality and customer satisfaction within the economic constraints faced by CSPs. To address this challenge, we will collect anonymously real customer connectivity insights 24/7 from end-user devices. To address privacy concerns, we introduce DePIN mechanism, which gives reward for end users. Our data collection methodology is the most sustainable way to collect network performance and quality data tied to real customer experience. It is lightweight and has a very marginal impact on users’ data plan and on the radio access network in terms of added traffic load and energy consumption. Collected insights are correlated with network-based data from access networks, transport layers, and core infrastructure to create an end-to-end holistic view of service delivery. Typical cases include strategic investment planning, proactive quality improvements, cloud diagnostics, and accelerated customer complaint resolution. The AI/ML-powered system automatically identifies performance bottlenecks, detects emerging trends, prioritizes issues based on customer impact severity and makes recommendations. To assure maximum accuracy and extreme automation we applied Digital Twin artefact contributing toward Autonomous Networks Level 4 and for cases where human decision is needed, we provide intuitive GUI utilizing latest XR technology. By addressing connectivity issues proactively rather than reactively and shifting focus from network metrics to customer perception, CSPs can reduce churn, enhance customer satisfaction, and optimize network resources based on real-world usage patterns rather than theoretical models. Let’s bring the customer back into the centre of the CSP decision making by addressing proactively their connectivity issues!

URN: C25.0.845

Project details

AI-driven network automation for traffic and service resilience - Phase II

Global telecom infrastructure is under pressure from increasing service demands, operational complexity, and high-impact outages such as undersea cable cuts or recent network disruptions in Spain and Canada. These events expose critical gaps in traditional network operations; manual traffic rerouting, slow fault detection, and high resource costs. Networks today are often overprovisioned, underutilized, and incapable of responding dynamically to service disruptions or energy-saving opportunities. This Catalyst project presents a transformative solution; an AI-powered, intent-driven network architecture designed to deliver predictive, self-healing, and zero-touch operations. Building on Phase I, which introduced intent orchestration, service decomposition, and resource mapping, Phase II accelerates full-scale implementation. The system analyzes real-time traffic patterns, prioritizes services using QoS metrics, and enables natural language interactions through GenAI & LLM. By aligning with TM Forum’s Open Digital Architecture (ODA), GSMA’s Open Gateway, CAMARA APIs, and 3GPP/ORAN standards, this solution also enables interoperability across OSS/BSS systems, cloud platforms, and network domains. It ensures secure, programmable access to network functions and data, supporting dynamic service orchestration and real-time visibility across ecosystems. The vision is to evolve telecom networks into intelligent, adaptive platforms that reduce cost, optimize resource usage, and meet environmental goals. Not only the project enables predictive maintenance but also empowers CSPs to offer advanced, monetizable services like intent-based Connectivity-as-a-Service (CaaS) under B2B2X models. Repositioned the CSP back to the core. Through automation, autonomous networks and AI, the Catalyst enables networks to: * 🔧🤖 Reduce Mean time between failures (MTBF) with autonomous, predictive restoration. * 📊📏 Avoid overprovisioning by aligning infrastructure growth with real demand. * 🧠⚙️ Cut OPEX through intelligent operations and zero-touch responses. * ⚡🌱 Optimize energy consumption, scaling capacity while minimizing emissions. * 🧲📦 Maximize asset utilization, treating infrastructure as an elastic resource. * 🔐🔗 Enhance integration & security, ensuring cross-domain interoperability. * 🌍📈 Increase sustainability by aligning performance with environmental KPIs. This project targets a measurable business impact: up to 80% improvement in service resilience, 50% reduction in operational time and cost, and 60% faster time-to-market. It empowers CSPs to reduce churn, elevate customer experience, and unlock new revenue with programmable, agile offerings. Ultimately, this Catalyst lays the groundwork for Level 4/5 autonomous networks. It redefines network operations; from reactive workflows to predictive, self-optimizing systems to ensure telecom networks can scale, adapt, and thrive in a future where performance, resilience, and sustainability are not optional, but essential. Let’s connect at DTW25 – Ignite in Copenhagen and meet our Catalyst team in Hall 3, Catalyst kiosk i.2.8.

+11

URN: M25.0.821

Project details

End-to-end service realization using intent-based networks

CSPs have long been faced with an unforgiving trilemma. When building and operating commercial networks, you can optimize for any two of three critical factors: scale, reliability and efficiency – but never all three simultaneously. As market demands and customer expectations make scale and reliability non-negotiable requirements, CSPs are forced to sacrifice efficiency. This compromise translates into high operational costs and low profit margins, exacerbated by intense competitive pressures. To address this challenge, CSPs need to fundamentally transform how they manage the lifecycle of their networks, by shifting from a task-based automation paradigm to intent-based autonomy, where every aspect of network lifecycle - from initial planning and deployment through ongoing operations to eventual decommissioning - is driven by business intents and a knowledge plane. To that end, this Catalyst is demonstrating the practical implementation of TM Forum Open APIs and intent-based management across multiple layers - from business objectives through service management to the deployment of rApps (software that helps optimize network traffic). The goal is to build a self-adaptive system that will reduce CSPs’ costs through greater automation. The project combines the TM Forum Autonomous Networks Reference Architecture, including autonomous domains and intent management functions, with ORAN (open radio access network) interfaces, such as R1 and SMO services. Aiming to demonstrate the technical feasibility of theses APIs and models, the Catalyst will identify and close any gaps. The project team notes the importance of integrating the TM Forum-based management with modern network management architectures, such as ORAN SMO, which provides an open and flexible environment.

+11

URN: M25.0.799

Project details

AI-enhanced digital twins for best NPS network - Phase II

Customer satisfaction scores are crucial metrics to long-term sustainability in the ultra- competitive telecommunications industry. The GSMA's Mobile Economy 2024 report predicts minimal growth in mobile user penetration – so CSPs must prioritize enhancing customer experience to maintain market share and foster sustainable development. Yet traditional approaches to managing customer satisfaction typically rely on random, small-scale surveys. These are often insufficient for accurately identifying the root causes behind customer dissatisfaction. This Catalyst therefore offers a solution designed to improve vital metrics such as the Net Promoter Score by using advanced AI, digital twin technology, and big data analytics. By combining detailed big data simulations and advanced AI algorithms, CSPs can effectively model and optimize common business scenarios, finding tailored and cost-effective solutions to network challenges. AI-powered digital twins also create accurate virtual replicas of network environments then simulate real-world conditions. This visualization provides real-time, predictive insights and actionable recommendations, giving CSPs deeper, more granular insights into customer behavior and real-time network performance. They are then far better equipped to proactively monitor and manage potential network issues through intelligently automated network optimization. They can also employ sophisticated root cause analysis techniques enhanced by graph computing and big data analytics. These technologies quickly pinpoint specific network problems, facilitating targeted interventions and optimizations to improve network reliability and performance. This solution is expected to improve CSP performance across a wide range of relevant indicators, including: 1. Net Promoter Score 2. Customer churn rate 3. Complaint resolution time 4. Network quality score 5. Marketing conversion rate 6. Service response time 7. Employee satisfaction This approach to customer satisfaction management will create more personalized, responsive, and efficient customer experiences. Ultimately, by enhancing network performance and reliability, it will empower CSPs to better meet evolving customer expectations, ensuring continued competitiveness and market leadership.

URN: C25.0.822

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INFINITY: Unlocking revenue with APIs & dynamic pricing

What if your network could price itself, adapting to demand and opportunity in real time? The need for dynamic pricing and billing is driven by the diverse demands and evolving consumption patterns across our customer base. The main challenge of the existing pricing process is that it’s static in nature. CSPs have the opportunity to convert significant network spend into measurable, monetizable outcomes. We have a viable solution that can transform a deficit of dynamic pricing capability into a potential gain. The future is now. Telecom customers today expect personalized, high-quality service on demand, where CSPs have no suitable pricing model to satisfy the demand. Adding to this pressure, the swift evolution of cloud computing and AI is driving rapid innovation, forcing the telecom sector to adapt quickly achieving pricing agility. As a result, even after accounting for economic variations, yearly revenue growth has remained low, typically between 1-3%, highlighting the critical need for transformation. To stay competitive and unlock new revenue, CSPs must adopt dynamic pricing that aligns with real-time customer needs and network value. Customers are able to request Quality on Demand, and only pay for what they use, when they use it. Built on a foundation of proven TMForum APIs industry standards and with a customer-centric approach in mind, our innovative dynamic pricing capability highlights a potential for new revenue generation. Here’s how we’re making it happen: Our model runs through eligibility and technical viability checks, followed by collecting the real-time network telemetry, service location, time and other relevant attributes. By leveraging TM Forum ODA framework, CSPs are able to shift from fixed to dynamic pricing. This real-time adaptability provides a platform for ongoing growth within the telecom industry.Now CSPs can optimize their network capacity while delivering premium user experiences with TMF APIs. Our Dynamic APIs, available through CSP portals and marketplaces like ADUNA, are unlocked by a GenAI-driven chatbot, accelerating discovery and API adoption. This solution not only allows telecom to monetize but will transform pricing strategies across industries, from Satellite, IT, Smart Cities and NTN - reshaping how enterprises create and capture value. Key Benefits Unlocking primary benefits and innovative capabilities for CSPs result in 1. Enabling Dynamic Pricing 2. Generating New Revenue Streams 3. Optimizing Costs 4. Accelerating Dynamic Pricing Model Adoption via AI Conclusion CSPs hold untapped potential, variable demand, and avenues for revenue generation. Conventional pricing models often fail to adapt to these dynamics. To effectively leverage short-lived value, a novel, real-time adaptive strategy—dynamic pricing—is crucial. This isn't just an idea; it's a monetization model built for agility, speed, and scale. It transforms your network from a cost-center into a responsive intelligent profit engine. No more dormant bandwidth. No more lost revenues. Static is over. Dynamic pricing isn’t just a new model, it’s a new mission! Infinity starts here.

URN: C25.0.829

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AI-driven sustainable connectivity: Cutting emissions for higher impact

CSPs are expanding their digital infrastructure—and as they do, energy consumption continues to rise. This increases both operational costs and carbon emissions. This Catalyst addresses the urgent need to optimize energy use across network operations using AI, machine learning, and data analytics. The solution integrates an AI-driven analytics engine into the network management layer. It ingests telemetry data from power systems, equipment performance logs, and traffic patterns across both access and core domains. Using machine learning models, it detects anomalous energy use, forecasts load requirements, and dynamically adjusts network parameters—such as power modes, cooling profiles, and traffic routing—to minimize unnecessary consumption. These adjustments occur in near-real time, reducing operational overhead and extending the usable life of hardware. The solution follows TM Forum Open Digital Architecture (ODA) and Open APIs for modularity and interoperability. As a result, it supports modular deployment and seamless integration with existing OSS/BSS systems. Unlike traditional methods, this solution combines predictive analytics with intent-based automation. It supports smarter energy provisioning for both access and transport networks—reducing over-provisioning and unnecessary energy draw. CSPs gain a clearer view of their carbon footprint and can align energy-saving initiatives with broader sustainability targets. The business value is twofold: reduced energy and maintenance costs, and improved brand reputation through demonstrable sustainability leadership. In a market where environmental accountability increasingly influences customer and investor decisions, this Catalyst enables CSPs to lead by example. By embedding intelligent energy optimisation directly into operational workflows, CSPs can cut emissions, boost uptime, and reduce costs. Crucially, this Catalyst will demonstrate that they can do this without compromising performance. The aim is to show that sustainability isn’t just good governance—it’s a core driver of resilience and long-term growth.

URN: C25.0.770

Project details

Zero network outages using resilient automation

Major network accidents can result in huge economic losses and have a serious brand impact for CSPs. Such incidents can arise from network architecture corruption, increasing network scale and complexity and APT (advanced persistence threat) attacks. Failures in network security and resilience can lead to regulatory compliance issues, as well as serious business continuity issues, data breaches and millions of dollars in losses. Leveraging advanced technologies, such as AI and digital twins, this Catalyst is developing a comprehensive tool platform to enhance network resilience and address disruptions for operators. The solution comprises two key components. The first component focuses on mitigating risks in network architecture. To identify vulnerabilities, it supports network blueprinting, simulation, analysis and optimization, enabling quick recovery and enhancing network performance. The second component focuses on risks related to network changes. Prior to implementation of the changes, the platform performs configuration verification, simulation and a deployment comparison to prevent disruptions. As the tool platform identifies network risks and configuration faults, operators can optimize the network, according to its suggestions, and reduce the number and impact of network incidents. In the event of a power failure, for example, the operator could switch all services to a redundant path, potentially preventing a prolonged outage that would affect million users. As well as boosting network resilience, the proposed platform should improve operational efficiency and security, ultimately enhancing brand reputation. CSPs AIS and HKT, which are Project Champions of the Catalyst, plan to use the platform to help build level four autonomous networks that are highly resilient and further their business development.

URN: C25.0.773

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AN agent for 5G bearer networks

The 5G bearer network, which connects the 5G radio access network and the core network and supports high quality private line services, plays an extremely important role. But troubleshooting on the bearer network can be difficult. On one hand, alarms and faults frequently occur. For example, a broken optical cable broken may trigger hundreds of device alarms. On the other hand, it typically takes several hours for experts to complete a fault diagnosis and the on-site engineer often needs to contact the network operations center to obtain support. Yet during typhoons and other disasters, emergency relief and communication recovery must be completed quickly. This Catalyst is creating an intelligent fault management framework, encompassing network devices, the network management system (NMS) and the operations support system (OSS). The framework employs AI agents to automate the monitoring and diagnosis of root alarms, in place of manual operations, in common fault scenarios. In a scenario where a fault needs to be manually diagnosed, an AI copilot will provide support to the engineers via a natural language interface. A major step towards the development of a level four autonomous network, the end-to-end solution is based on a three-layer architecture that associates digital twins with AI foundation models. Drawing on embedded AI, the intelligent network element (NE) layer provides real-time awareness of the network status. The intelligent NMS layer enables self-closed-loop fault diagnosis in a single domain. Integrated with the NMS, the intelligent OSS layer can address fault scenarios across domains and vendors end-to-end. Having completed technical pre-research, the solution is being piloted by China Mobile Guangdong. After it is integrated into production, operations and maintenance in the province, the solution should greatly improve network stability and reliability, by reducing the time it takes to resolve faults. Improved data query efficiency and a more robust emergency response capability for natural disasters are also expected.

URN: C25.0.848

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Digital Twin acceleration: Automate ODA Framework adoption using enterprise architecture tools

Enterprise architecture tools can help to unlock the value of the TM Forum’s Open Digital Architecture (ODA). But CSPs need straightforward ways to import certain functional blocks and components from the ODA catalogue into an EAM enterprise asset management (EAM) tool. This can be a time-consuming task involving manual interpretation of documents and creation of components in the EAM tool or the conversion of files into intermediary formats compatible with the EAM. The first phase of this Catalyst is harnessing APIs and AI to automate the import of functional ODA blocks and components. Using APIs enables CSPs to include more density in their models, allowing for cross-framework relations, for example. By eliminating the need for engineers to craft integration mechanisms themselves, the solution will remove a key obstacle to widespread adoption of ODA. This will help CSPs benefit from a vast amount of industry-created assets, ranging from the business process framework, through the framework and design principles of ODA, to the specifications for standardized plug and play software of components, canvas and open APIs. For CSPs, the net result should be faster deployment and adoption, fewer work hours required, more consistency in modelling and a base for high quality AI-inference. The output of the Catalyst should also make it easier for B2B2X partners to work with CSPs. “As a TM Forum active member, we get significant value from being able to automatically import the TMF reference frameworks, their inter-relations and to keep them updated as they evolve,” says a Project Champion at NOS. “We believe this can dramatically improve de facto member adoption, benefitting the whole ecosystem.” To assess its impact, the Catalyst will monitor the ability of the solution to create an object space that enables CSPs to perform enterprise architecture activities and develop reports, and support advanced use cases, such as AI-based querying. From a TM Forum standpoint, a key metric will be the number of successful framework integrations by members.

+10

URN: C25.0.781

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InfraVerse: Breaking boundaries for XR sustainability

Telecom infrastructure deployment—especially for rooftop, in-building, and dense urban environments—remains slow, costly, and error-prone. Existing planning methods rely on static blueprints, fragmented site data, and repeated site visits, leading to rework, delays, and missed revenue opportunities. The InfraVerse Catalyst addresses this bottleneck by applying telecom-specific building information modelling (BIM) to digitize the physical deployment process. It integrates drone imagery, AI-driven insight extraction, and genAI automation to transform how CSPs plan, validate, and deploy high-performance infrastructure—particularly in hard-to-serve, high-value areas. The Catalyst combines drone-based data collection, AI, and generative AI (genAI) with a telecom-specific BIM platform. Drones capture detailed visual data. AI then processes this data to extract structural, spatial, and environmental insights. Next, genAI generates critical documents—like EMF assessments, technical drawings, and permit applications—reducing manual work and speeding up compliance. This solution allows virtual site inspections, improves design accuracy, and reduces unnecessary travel. Teams collaborate more effectively using a unified digital model, streamlining deployment and cutting costs. CSPs can plan with greater precision, optimize equipment placement, and deliver stronger indoor and outdoor coverage. The system is scalable and sustainable - it enables energy-efficient design, lowers emissions, and helps meet green building standards. With fewer design errors and faster approvals, CSPs can deploy infrastructure faster, at lower cost, and with better quality control. The InfraVerse Catalyst helps CSPs break free from slow, reactive builds—replacing outdated planning with intelligent, digital-first workflows. The shift brings sharper accuracy, faster deployments, lower costs, and sustainability gains that can’t be ignored. It’s not just better planning—it’s a smarter path to market and a stronger, greener foundation for the networks of tomorrow.

URN: C25.0.802

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