RAN autonomy will not deliver impact unless technical progress and value creation advance in parallel. Our dual-axis framework will help operators to assess where they are today, identify constraints across the lifecycle and the investments most likely to scale.
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this second edition, we put the spotlight on a leading multinational operator in the journey toward autonomous networks.
This report explores how a more adaptive, cross-domain AI approach, leveraging the latest AI techniques such as time series foundation models, can move operators forward in their network autonomy journey and unlock significant financial value.
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this first edition, we put the spotlight on a successful operator journey coming from China.
The range of optional additional features in 5G has expanded massively since previous generations. This report covers the technology, use cases and timelines for six of the less-discussed domains of 5G evolution – RedCap, sidelink, URLLC and time-sensitive networking, drone connectivity, precise positioning and real-time communication.
It was no surprise that AI dominated MWC this year. But there were lots of other notable trends on the rise – including cybersecurity and data centres – and some that were disappointingly overlooked. Find out what the STL Partners team saw and missed at MWC 2025.
The development of agents underpinned by data and knowledge assets looks set to be a major challenge for telcos. It may take up to ten years for telcos to truly master agents, but they will be key to the realisation of fully autonomous networks.
Trusted intelligence is crucial for operators in progressing to Level 4+
autonomous networks. This research explores the role of digital twins, agentic AI and operator knowledge in achieving trusted intelligence.
As the deployment of AI/ML ramps up, telcos need to develop an ‘intelligence architecture’, supporting the move towards Level 4 and 5 in the TM Forum’s Autonomous Network Framework. How will such an intelligent architecture support the self-healing network?