Towards E2E Optimum Service Delivery in AI-Native Future Networks

The emergence of 6G networks promises to revolutionise telecommunications by incorporating end-to-end intelligence for improved performance, driven by new radio and other access technologies. On the other hand, optical technologies are crucial for enabling long-distance integration among various domains and network technologies. This integration is vital for future networks to meet Key Performance Indicators (KPIs) like bitrate and latency, and Key Value Indicators (KVIs) such as reliability and privacy. The envisioned end-to-end intelligence can drive optical networks to consistently provide high-quality connectivity and handle dynamic computing and network demands in 6G. This paper explores end-to-end intelligence within 6G networks, emphasising its potential to optimise service delivery. We envision a 6G-ready architecture for delivering end-to-end services across multiple domains interconnected by optical technologies. This architecture uses Artificial Intelligence and Machine Learning to support lifecycle management of infrastructures and network services. It includes an Intelligent Optical Cross-Domain Orchestrator and Optical Controllers at the Transport and Metro domains, as well as Intra-Domain and Cross-Domain Service Orchestration, efficiently allocating optimum resources to services ensuring robust and seamless performance in future networks.