Ericsson is introducing machine learning and advanced automation capabilities in its products and services portfolio to enable networks to self-optimize, improve efficiency, and deliver optimal user experiences.

1. Network Intelligence.
Engineered.
Network Intelligence

2. Evolutionto5Gwillseeincreasein
networkcomplexity
2G
3G
4G
5G
1990s 2000s 2010s 2020s
Complexity
Network function
virtualization
Vast differences in
terminal capability
Significant variation
in traffic demand
Completely new &
varied use cases
Dealing with opex and network performance in this environment will go beyond the reach of humans
Multiple coexisting
technologies

3. Machines and
humans
engineer intelligence
together
Network Intelligence.
Engineered.
Our approach aims to create self learning
networks to optimize workforce and network
efficiency as well as improve network performance.

4. Augmentinghumansandnetworks
Augmenting
human
capabilities
Augmenting
network
functionality
Network
Intelligence.
Engineered.
network services network products
Empowering engineers with
intelligence to increase efficiency
and quality of their work
Introducing intelligence into our
products to create a network that
learns as it is used

5. 6Months Ahead, to address capacity bottlenecks
1 Sec To access required field instructions
2X Easier to deploy
30% Reduction in field dispatches
Newlevelsofefficiencyandperformance
Augmenting
human
capabilities
Up to
10% Energy reduction on node level
50% Reduction in OPEX for future RAN transport
2X Faster inter-frequency handover
99% One (1) incident for every 100 alarms
Augmenting
network
functionality
Network
Intelligence.
Engineered.
network services network products

6. 6Months Capacity planning, boosted by AI
1 Sec AR assistant * for Ericsson Radio System
2X Connected technician
30% Radio site analytics
Newtypeofnetworkservicesandproducts
Augmenting
human
capabilities
10% Energy efficiency
50% Transport Intelligent Function
2X AI-enabled handover
99% Autonomic incident management
Augmenting
network
functionality
Network
Intelligence.
Engineered.
network services network products
Up to
* Prototype

7. “Machine learning is assisting our
engineers to make our mobile
networks more proactive and
immediately responsive to the needs
of our customers. Vodafone is leading
the industry in using AI in our radio
networks because of the pioneering
work between our Networks Centre of
Excellence and Ericsson.”
Francisco (Paco) Martin,
Vodafone Group Head of Radio Products
Feedbackfrom
customertrial

8. Whatwebringtothetable
A network first
approach
Training set
based on
anonymized
network data
Products &
services in
collaboration
Trials performed
on live Networks

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