ericsson.com/rapps

Ericsson RAN
Energy CockpitrApp
Solution sheet

Available on Ericsson Intelligent Automation Platform

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Ericsson | Ericsson RAN Energy Cockpit rApp

Ericsson RAN
Energy Cockpit rApp
Ericsson RAN Energy Cockpit rApp monitors the energy efficiency of bothindividual radio units and the entire network. By detecting the causes of energy
inefficiencies, it enables faster resolutions.
At the forefront of sustainable design andoptimization, Ericsson has developed
Ericsson RAN Energy Cockpit rApp,
which will create an operation centre for4G and 5G networks. This will enablecommunications service providers tounderstand the amount and efficiency ofenergy being used in the network at any
given moment.
In the current era of energy awareness,
service providers cannot afford to waste
even minimal quantities of energy.
From both a sustainability and strategic
perspective, it is vital to understandhow much energy is being used and forwhat purposes.
Ericsson RAN Energy Cockpit rApp is
an operations and management (O&M)
tool capable of providing a detailed andscaled view on how energy is used in thenetwork. This helps service providers todetect potential faults which can cause
low efficiency in the overall network

Figure 1: Energy efficiency map

energy consumption. This can beachieved by ranking every Radio AccessNetwork (RAN) site within the network
to inform operations staff of the energy
efficiency status of the entire network
via a web portal. This graphical userinterface (GUI) has been developed
following the industry standards.
Ericsson RAN Energy Cockpit rApp
will help operational teams not only todetect inefficiencies, but also to isolate
faults for root cause analysis and producerecommendations for resolutions, thanks
to accurate insights which are available
promptly and with minimal effort. This rApp
can run in both open and closed loop. Thisis configurable according to the service
provider’s preference and their O&M team.
With this solution, Ericsson issupporting the O&M teams in copingwith the increased complexity in radionetworks, enabling a faster resolution
using AI/ML technologies.

rApps benefit strongly from
Ericsson Intelligent Automation
Platform capabilities
Beyond adherence to R1 forinter-rApp communication andaccess to external interfaces, theplatform facilitates all the tasks
around design, development,
testing and life cycle management
for rApp developers. The most
relevant capabilities in theseregards are the following:• AI/ML APIs for modeltraining, execution and life
cycle management• analytics data collection
capabilities for raw data in afile- or stream-based format,
with fault and performance
management (FM/PM)
provided out of the box• analytics processing capabilities
to provide insights on network
behavior and performance• data management
and movement• controller framework uses theopen standard R1 interface toabstract details of the underlyingsystem, allowing developers tofocus on the use case• inventory and topology offers
near real-time source of truth• policy design and execution
for policy handling using
multiple engines• service orchestration covers theTOSCA-based orchestration engine
for declarative orchestration• workflow execution realization
for activities supports the designand creation of new use cases• design and onboarding
environment

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Ericsson | Ericsson RAN Energy Cockpit rApp

Our solution

Ericsson RAN Energy Cockpit rApp monitors the energy performance of eachradio unit and for the overall network. It improves energy efficiency of the radio
network at scale by providing visualization and recommendations for the energy
efficiency status and giving recommendations for fast resolution.
Ericsson RAN Energy Cockpit
rApp process overview
rApps represents a new step in thenetwork’s architecture evolution.
They are cloud-native applicationthat can be onboarded and deployedin each customer´s network, thanks toorchestration and automation layer
evolution, the Service Management andOrchestration Platform (SMO). Ericsson
Intelligent Automation Platform isEricsson´s approach to SMO.
Following this evolution, Ericsson hasdeveloped a set of O&M rApps to satisfy
5G operational needs for service providers.

1 Visualize the overall network energy
efficiency with site granularity – not onlyis site energy consumption considered, butalso traffic metrics (such as data volume
and average users/cell). AI/ML techniques
are applied and indicate an overall energy
efficiency rank.
2 Understand the root cause of
inefficiencies – this is an automatedprocess to identify and isolate the cause.
The most common causes of energy
inefficiencies are over dimensioning(in both low and high-traffic scenarios),
configuration issues impacting
performance and consumption,and hardware and software issues.

3 Provide recommendations forresolution – once the cause has
been identified, it is then shown in
the web portal to alert the monitoring
team, who will decide the next steps
for the resolution such as implementing
the recommendation or sending theactionable recommendation to thenetworks’ operations team or openinga Trouble Ticket. For some scenarios,
automatic resolution (closed loop) can beenabled such as parameter configuration.

Figure 2: Automated fault isolation for root cause analysis
Ericsson RAN Energy Cockpit rApp
Cell/radio availability checkRadio software fault check

Sleeping cell/near sleeping cell check

Traffic/energy variation check

Other radio fault check

RF condition check

Temperature checkRadio hardware fault check

Energy efficiency condition check

Automated use cases

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The main characteristics of Ericsson RAN Energy
Cockpit rApp
• Data-driven algorithms. Ericsson RAN
Energy Cockpit rApp continuously gathers
traffic data (throughput) and energy
consumption data (watts per hour) fromthe network management layer to gain aclear view of the cost of data bandwidth
as input for the algorithm.
•E nergy efficiency ranking estimation
obtains the overall network efficiency
measurement based on AI/ML
techniques. Based on the collected
information, the rApp ranks each radio
unit based on its energy efficiency. The
ratio (data exchanged) / (energy unit) isused to create the overall RAN ranking –including the best and worst-performing
nodes. AI/ML techniques are used for
network clustering and modelling.
• Fast processing engine due to powerfulworker software. The worker unit willprocess data and classify the processing
output, providing the ranking results
to the GUI.
•M
 icroservice implementation. The
granularity of the microservices willallow a better performance in terms ofelaboration and faster output results.
• Smart and flexible deployment. Being
an rApp, there is no need for a dedicatedserver – the rApp can be deployed on
the cloud (private/public) and connectedwith the network management layer. The
life cycle management can be AI-based
automated in the Ericsson Intelligent
Automation platform.

• Automated root cause analysis process.
The rApp is synchronized to both
performance management measurements
and the alarm collection input. It has adedicated section for alerts collection
and presentation to help the operationalteam detect and isolate any faults causing
inefficiencies. The evolution of this rApp
will aim to achieve the highest possiblelevel of autonomy in both root cause
identification and resolution.
• Flexible implementation adapted to aservice provider’s delivery model choice.
Ericsson RAN Energy Cockpit rApp has
an off-the-shelf list of use cases forinefficiencies. For these use cases, closed
loop actions can be triggered to fix theissue autonomously if desired.
• Powerful GUI following the industry
standards with Ericsson GUI
presentation layer. The output of all
the executed processes is a web-based
GUI where the users can see the mapof network energy efficiency
distribution. Color coding will
indicate which are the individual
node’s energy efficiency performances.
• Suited for both Ericsson 5G and 4G radio
access networks. The tool is designed for5G and 4G radio access networks.

Ericsson RAN Energy Cockpit rAppprovides the following benefits forservice providers:
Improving energy efficiency of theradio network at scale
The solution provides visualizationof the energy efficiency status andrecommendations for fast resolutions.
Network performance can also
be improved. For instance, oneof the most common causes ofenergy inefficiencies is the incorrect
configuration of functionalities, which
can impact performance. Throughfaster issue detection and root cause
analysis implementation, overall
network performance will improve.
Flexibility with a shorter time
to market
Every implementation will haveits own thresholds with the service
provider’s input. The clustering
process for the service provider’s
network is adapted to their specificneeds. The AI-based algorithm canbe customized according to theservice provider’s business priorities
by using our services expertise forshorter time to market.
Simplified networks operations
A powerful GUI helps visualize thewhole network to identify energy
inefficiencies and the causes in aneasy way. This tool can be adaptedby each service provider’s operations
team in line with their resolution andautomation processes.

Glossary
Non-RT RIC (non-real-time RANIntelligent Controller): A logical functionthat enables non-real-time control
and optimization of RAN elements
and resources, AI/ML workflow
including model training and updates,and policy-based guidance ofapplications/features in near-RT RIC.

Key benefits

rApp: An application designed to run
on the non-RT RIC. Such a modular
application leverages the functionality
exposed by the non-RT RIC to provide
added value services relative to intelligent
RAN optimization and operation.
rApps communicate with the platform
via the R1 interface.

R1: Interface comprised of a collectionof services that facilitate the interactions
between rApps and the non-RT
RIC framework.

If you’d like to know more, visit ericsson.com/rapps

About Ericsson

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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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