In today’s tech-forward environment, real-time computing and data analytics are commonplace. Telecom operators are increasingly turning to these advanced technologies to automate and streamline network operations, enhance connectivity and optimize performance. This shift toward greater automation not only drives efficiency but also empowers operators to focus on delivering exceptional customer experiences while managing operational costs.
As networks advance and service quality becomes more critical, it is becoming more important to move from managing core, RAN, and transport as separate domains to an integrated approach that coordinates and optimizes the end-to-end network and overall service experience. This broadened automation scope helps operators serve their customers across different services and easily manage open, multi-vendor infrastructures.
To address operators’ diverse needs and flexibly accommodate the evolution of networks, Samsung is pushing the boundaries of how operators manage and optimize their networks with its comprehensive, AI-powered automation solution – Samsung CognitiV Network Operations Suite (NOS).
Samsung CognitiV Network Operations Suite: Mastering Network Automation
Dec 03. 2025-
Executive Vice President and Head of Product Strategy, Networks Business at Samsung Electronics
Ji-Yun Seol
Samsung CognitiV NOS: The Brain Behind Tomorrow's Networks
This solution is a set of diverse AI-powered network automation solutions, AI agents and intelligent applications, supporting both traditional RAN (tRAN) and virtualized RAN (vRAN) environments. It provides comprehensive insights from massive data collected across all network layers—ranging from mobile core and radio access to transport elements— enabling end-to-end network automation and autonomous intelligence.
It enables real-time network performance analysis and fully supports closed-loop optimization with minimal human oversight, providing operators with intent-driven networks. Combined with the intelligence and self-governing capabilities made possible with Agentic AI, these advancements are essential in order to realize autonomous networks.
From Automation to Autonomy: Realizing Intent-driven, Fully Autonomous Networks with Agentic AI
TM Forum, a well-known global industry association, provides a benchmark for measuring progress in network autonomy across multiple domains recognizing achievements from Level 0 (manual operation and maintenance) to Level 5, fully autonomous networks and a foundation for future 6G success.
In alignment with this, Samsung takes a structural approach to actualize fully autonomous networks by 2027, defining six key domains—planning, deployment, operation, troubleshooting, optimization and customer experience management. This approach outlines our vision and concrete progress toward realizing full autonomy across end-to-end networks as well as service orchestration & assurance, which will empower operators to enhance operational efficiency and unlock new business opportunities.
For each domain, Samsung has defined detailed scenarios that enable multiple agents, telco-trained AI models and intelligent applications to seamlessly interwork to automatically identify and analyze issues, resolve problems and adapt dynamically to changing environments. Building on proven solutions within CognitiV NOS, we are driving the next phase of intelligent network evolution.
To achieve fully autonomous networks, key technologies such as AI agents, digital twins, advanced applications, Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and knowledge graphs are necessary. Encompassing several of these innovations, Samsung’s Agent Fabric – a new, unified knowledge and decision intelligence layer the company developed for the AI era – aggregates the capabilities of the AI agents and advanced Agentic AI technologies into a centralized hub. This Agent Fabric maintains the telco knowledge required to operate the network, and also provides AI Agents that plan, evaluate and act on the network based on their own reasoning. Operators can tap into the full power of the Agent Fabric and add on more specialized AI agents starting with NOS Copilot and various automation solutions tailored to their needs.
Shaping the Autonomous Network Era
We have been advancing end-to-end software-based networks for many years leveraging its industry-proven vRAN solution. The software-driven approach lays the groundwork for Samsung’s AI-powered CognitiV NOS to deliver real impact, helping operators to streamline network management and reduce total cost of ownership (TCO).
We are already making real-world strides in autonomous networks with global operators. TELUS in Canada was the first to commercialize Samsung CognitiV NOS and KDDI in Japan is using key features to power its Open RAN expansion. Verizon in the U.S. validated the energy efficiency enhancements made possible with the Energy Saving Manager (ESM) while SK Telecom in South Korea is boosting the performance of its base stations with the RAN Speed Optimizer (RSO). Most recently, Vodafone announced that it will leverage Samsung CognitiV NOS for large-scale Open RAN deployments across Europe, starting in Germany.
Beyond these operators, we are continuing to roll out the platform around the world. Built on an Agentic AI system, Samsung CognitiV NOS is also well-prepared for 6G, utilizing its autonomous capabilities to comprehensively manage the surge of AI services, applications and massive devices connectivity.
It’s no secret that networks are becoming rapidly more complex and service demand is growing. Automating the entire network lifecycle is essential for operators rather than simply advantageous in the AI era. As the telco landscape continues to evolve over time, autonomous networks will be the cornerstone between operational excellence and innovation, and Samsung is the ideal partner to guide and work with operators along this journey.