Network AI
Shaping Future Networks
with AI
In today's fast-paced digital world,
the telecommunications industry is undergoing a profound
transformation
driven by AI.
As 5G networks become more complex,
AI is emerging as a game-changer
driving intelligent, automated, and adaptive network operations.
By leveraging advanced AI capabilities,
operators can achieve greater efficiency, agility
and deliver an enhanced user experience
across the entire network.
Realizing the potential of
intelligent networks
The telecommunications industry is rapidly evolving,
and at the heart of this transformation lies the rise of
virtualized,
software-based networks built on multi-purpose platforms.
These flexible, cloud-native infrastructures are becoming
the new industry standard - offering scalability, agility,
and efficiency like never before. But as networks
become more dynamic and complex, managing them
effectively demands more than just virtualization.
It requires intelligence, and that's where AI comes in.
With the exponential growth in users, connected devices
and services, manual network operations may struggle to
keep the pace.
AI enables telecom operators to proactively manage this complexity
—streamlining operations, accelerating decision-making,
and delivering highly reliable connectivity at scale.
By embedding intelligence deep into the network,
Samsung helps operators move toward fully autonomous,
self-optimizing systems that reduce operational burden and
unlock new revenue opportunities.
Transforming data
into actionable
insights
Telecom networks generate massive volumes of data across
various domains - RAN, Core, Transport, and Service layers.
The key to unlocking their full potential lies in gathering
uniform data across all these domains, processing it effectively,
and using it to drive smarter network planning, development,
operation, and optimization.
This is where AI excels.
With the ability to learn from patterns, infer context, and
predict outcomes, AI enables operators to make faster,
smarter decisions - often in real time.
Advanced AI algorithms
can identify inefficiencies, detect
anomalies, and forecast demand, allowing operators to
proactively address issues before they impact service quality.
This data-driven approach
not only optimizes resource allocation
but also accelerates innovation by enabling the deployment of
cutting-edge technologies such as 5G and beyond.
AI also empowers operators
to personalize services, improve
customer satisfaction, and reduce operational costs through
automation and predictive maintenance.
Samsung’s
AI-powered network
Samsung’s fully software-based network architecture provides the ideal foundation for domain-specific AI integration.
It allows operators to deploy AI exactly where it’s needed - maximizing costs and data utilization and achieving network-wide optimization.
Data is gold in the AI Era and the data collected from each network
domain is vast, detailed, and characterized
by complex interrelationships. To ensure stable and efficient
network management, it is essential to identify hidden
obstacles and potential risks that can be difficult to detect
manually and may affect the interaction between
network functions (NFs).
Samsung's CognitiV Network Operations Suite (NOS)
addresses this challenge by integrating AI/ML frameworks with
diverse automation applications to facilitate intelligent
orchestration and optimization, ensuring stable and efficient
network management.
In the Core network, AI analyzes subscriber mobility patterns, data
usage, and predicts potential failures.
This proactive approach enables immediate paging, UPF scaling, and
minimizes network disruptions. AI can also be
applied to channel estimation to enhance RAN performance by
improving weak signal strength at the cell edge.
By seamlessly integrating
AI across all layers of the network,
Samsung empowers operators to build intelligent,
agile, and resilient infrastructures.
Related Insights
AI in all levels of the network to empower
operators with network innovations
Unfolding the future of Telecom networks
Living with AI - The new era of connection
AI and Networks: A Match Made for the Future
