ericsson.com/
cognitive-software

Ericsson
Performance
Diagnostics
Solution sheet

2Ericsson Performance Diagnostics

Ericsson Performance
Diagnostics
AI-based network performance diagnostics analyzes communications service
providers’ whole Radio Access Network (RAN) to detect and classify cell issues.
Identified issues are further investigated down to the root cause level, enabling
fast and accurate optimization of end-user performance.
The monitoring and control of network
performance is traditionally handled by ateam of engineers, who are supported byexpert systems that target and optimize
limited areas of the network (typicallyareas with the worst-performing cells).
As such, network performance is often
optimized by combining manual andautomated rule-based instructions
with predetermined thresholds for each
network performance metric. These
rules and thresholds are completely
based on human observations andexpertise. Furthermore, as the network
complexity increases, the number of theserules increases which makes manually
maintaining these algorithms a highly
complex task.
Ericsson Performance Diagnostics,
part of Ericsson Cognitive Software
portfolio is a proven AI powered software
solution. Over the last few years, it has
demonstrated the possibility of creating afully scalable and automated AI powered
solution for network optimization,
consisting of automated network dataprocessing, network issue identificationand classification, and detailed root
cause analysis.

This solution enables a paradigm shift.
The issue-centric focus will simplify
the process and fix a higher amountof malfunctioning network elements
by similar actions, complementing
traditional worst cell list and elevating
the network performance to a superior
level. Reaching an issue granularity level
was not possible earlier due to scalability
limitations in manual work.
Figure 1 illustrates the high-levelarchitecture of the solution. Firstly,
the data is collected by a network
management system and undergoes
an issue detection and classification
screening. After the data processing
and transformation is complete, theAI model detects anomaly cells andclassifies coverage, handover, or externalinterference issues, based on over 160
network key performance indicators(KPIs). There are around 50 issue classes
currently implemented in the solution. If a
new issue type arises in the network, theAI software categorizes it as an “out-ofclass” issue, enabling model retraining tobe considered and opening the door for
additional classes.

The second step is the root cause analysis,
where other AI techniques are used tofurther break down a classified issue to its
root cause level. The root cause reasoning
enriches the analysis. By integrating
network topologies and configurations
with hundreds of performance metrics
and their two-dimensional correlation intime and space, it is possible to generate aknowledge graph that reveals the specificroot causes that lead to an identified
network issue. The solution is built on
the collection of more than 200 insightsrevealed by the knowledge graph.
Additionally, the contribution model andrelation diagnosis techniques generate
additional insights about the surrounding
cells. The output provides network
engineers with actionable insights
and enables faster and more effective
optimization steps.
The provided key values – scalability,speed, accuracy, and consistency innetwork optimization – enable service
providers to maintain and improve their
network performance at a higher level.

Accelerating AI adoption with Cognitive Software
Realizing the value of AI at scale requires overcoming some major barriers.
Trust, Flexibility and Agility are among the most challenging, and Cognitive
Software can help address these.

TrustFlexibility

Agility

Explainable AI embedded in theapplications increases transparency
in AI-driven insights and automations.

Tailored AI models and user experience.
Globally trained AI algorithms can belocally re-trained when it is convenient
to prevent model drifting and adapt
better to every network. Application
workflows and user interfaces can becustomized for seamless operational
integration

Cloud-native architecture that enables
highest flexibility for efficient AI-driven
operations. Scale up and down asrequired, and facilitate integration into
CI/CD pipelines for in-service software
upgrades with 100% uptime

3

Ericsson Performance Diagnostics

Evolving toward
issue-based optimization
Ericsson’s market-proven and AI powered performance
diagnostics solution provides a solid foundation fornext-gen network optimization.
Ericsson Performance Diagnostics has
been deployed by more than 20 service
providers on a global basis since its firstcommercial deployment in 2020. In
addition, by leveraging the technology andvendor diagnostic solution design, we haverecently been able to add further support
for 5G and non-Ericsson RAN vendors.
This gives additional benefits for service
providers who have multiple RAN vendors

remain at the forefront of their industries.

in their network as the same solution
can handle multiple technologies andRAN vendors.
As technology and application evolve
further with 5G uptake, the complexityof network performance optimization isalso increasing significantly. As a result,Ericsson’s Performance Diagnostics
continues to evolve, enabling service
providers to transform operations andEricsson also has an accompanying
application called Performance
Optimizers, which takes the output ofPerformance Diagnostics as input andautomatically proposes the parameter
optimization. These two applications
work together to fully automate network
optimization – our final goal.

Figure 1: Performance Diagnostics solution flow
Data input

Issue detection and classiﬁcation

Root cause analysis

ReportNetworkdata
Conﬁguration data
Performance data
Topology data

Dashboard

60+ Cell Issue KPIs
100+ Uplink
Interference KPIs
Multi-dimensional KPI
analysis, identifying
patterns, not thresholds
Unveiling 50% moreissues

30+ Cell Issue classes
20+ Uplink
Interference classes
98% classiﬁcation
accuracy,higher-than-humanskill level------

Knowledge graphanalysis enabling
systematic andautomated root-cause
analytics
175 automated analysis
checks for Cell-Issues
14 automated analysis
checks for uplinkinterference-200+ root cause
reasons ready foraction with detailed
information :●Foundation for
intelligent andautomatedoptimization●●●

GUI and API
Map and statistic,
ready forengineer use

Ericsson Intelligent Automation Platform

Key benefits
Ericsson’s domain expertise embedded
A number of Ericsson’s technical experts
in the network optimization domain havebeen working on the most advanced andcomplex networks. The knowledge gained
from those real project experiences isembedded into this solution.
High prediction accuracy
The field verifications have shown an
issue detection and prediction accuracy of
between 92–98 percent. This means thesolution accurately replicates the technicalanalysis that a senior engineer can perform.

Pre-trained and ready to use
The AI models used in the solution are
pre-trained and ready to use as soon
as input data is fed into them. The datafrom various network types were used todevelop robust AI prediction models.
Better-than-human capabilityWhen more than one issue co-exists ina cell, it is usually hard for an engineer
to identify all the contributing factors
simultaneously. However, with AI
technology, our solution can. Leveraging
a non-supervised learning algorithm,

both hidden and new issues canbe detected by the system, evolving
both the classification and theinsights delivered.
Scalability and speed
With impressive scalability and speed,
the solution is able to scan the wholenetwork every day. In our largest
deployment cases, millions of cells areanalyzed daily.

If you’d like to know more, visit https://www.ericsson.com/en/ai/ai-in-networks/cognitive-software

4Ericsson Performance Diagnostics

Flexible offering
Every automation journey is different, and every operator needs
to align this to other strategic choices in the area of software
infrastructure, management platforms, or the overarching
technology evolution.
To accommodate this diverse range of scenarios, Ericsson
provides Performance Diagnostics as a dual software
solution, supporting both standalone deployments and rApps,
together with a diverse set of infrastructure options. Ericsson
Performance Diagnostics can be deployed in either dedicatedhardware, private cloud, public cloud, or Ericsson premises ina software as a service (SaaS) mode.
This flexible offering allows every operator to decide when andhow to take steps forward in their transformation at their own
pace and with their own priorities.

Flexible deployment models for
Ericsson Performance Diagnostics

Performance Diagnostics

Performance Diagnostics rApp

IaaS/CaaS

Open RAN SMO

Ericsson enables communications service providers tocapture the full value of connectivity. The company’s
portfolio spans the following business areas: Networks,
Cloud Software and Services, Enterprise WirelessSolutions, Global Communications Platform, andTechnologies and New Businesses. It is designed
to help our customers go digital, increase efficiency
and find new revenue streams. Ericsson’s innovation
investments have delivered the benefits of mobility
and mobile broadband to billions of people globally.
Ericsson stock is listed on Nasdaq Stockholm and onNasdaq New York.

EricssonSE-164 80 Stockholm, Sweden
Telephone +46 10 719 0000
www.ericsson.com

The content of this document is subject
to revision without notice due tocontinued progress in methodology,
design and manufacturing. Ericssonshall have no liability for any error ordamage of any kind resulting from theuse of this document

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