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AI-driven network automation for traffic and service resilience

URN C24.5.741
Topics AI (Artificial Intelligence), Autonomous networks, Open Digital Architecture (ODA)
Finalist

Empowering networks with AI: Boosting resilience, reducing costs, and unlocking new telecom possibilities.

In today’s digital era, telecommunication networks play a crucial role in economic growth and societal development. For instance, a 2020 report from the International Telecommunication Union (ITU) showed that a 10% increase in broadband penetration could boost GDP by 0.77% to 1.50%. However, networks are vulnerable to outages, leading to service degradation and poor customer experience. Communication Service Providers (CSPs) typically use manual traffic and service engineering based on prioritization of Quality of Service (QoS). This method is slow, error-prone, and increases operational costs. A more efficient solution involves the use of Artificial Intelligence (AI) for self-healing networks. AI can automate troubleshooting and re-engineering within the network and services domain without manual intervention to adapt to disturbances, leading to faster problem resolution, fewer errors, and reduced expenses. Our innovation in this Catalyst explores an AI-driven approach to enhance network operations, advancing toward Autonomous Networks (AN) Level-4 and Level-5. It follows the Open Digital Architecture (ODA), allowing automated network configurations and traffic engineering while also leveraging Generative AI (GenAI) and related technologies to enable intent-based interactions. Further, the defined reference architecture allows these concepts to address any network domain, from the telco cloud to the telco edge. The innovation has two main components: (1) AI and network automation layer and (2) the incorporation of TM Forum’s Open APIs. The former will deal with the AI to enable intelligent network layer operations and intent-based actions. This is done by looking at two connectivity network aspects (transport and IP layers) to ensure that traffic takes the best paths and utilizes network resources effectively based on QoS. The TM Forum’s Open APIs will ensure seamless interaction between network components, enhancing resilience and performance. By integrating AI, the innovation can reduce downtime by 80%, lower operational costs by 50%, and improve network resilience. Customers benefit from increased satisfaction and loyalty. Furthermore, this innovation sets a new benchmark for automated network management, enabling CSPs to offer Connectivity as a Service (CaaS) and unlocking new business opportunities through business to business to various parties (B2B2X) partnerships.

Resources

Project Materials

Catalyst Presentation - C24.5.741 : AI-driven network automation for traffic & service resilience

Intent Interpreter with LLM (Large Language Models)

Supporting Articles

Autonomous Networks: Empowering digital transformation – evolving from Level 2/3 towards Level 4 (IG1326)

NTT's Large Language Models 'tsuzumi'

Video

Trailer Video - AI-driven network automation for traffic and service resilience

Demo Video

Contact team

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Team members

Chunghwa Telecom Company LTD logo
Champion
Cognizant Technology Solutions logo
NTT Group logo
Champion
Orange logo
Champion
PT Telekomunikasi Indonesia International logo
Champion
UBiqube logo
Verizon Communications logo
Champion

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