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rApps

Overcoming network automation challenges

Automation has become crucial for managing network complexity and controlling operational costs. Early efforts lacked standardization, causing fragmented software management challenges. AI-driven industry developed solutions have struggled with scaling and integration, leading to a complex tool landscape. Self-organization networks (SON) were introduced to some degree of success for RAN automation but their effectiveness have been limited by a narrow data focus, vendor lock-in and proprietary architectures.

The industry have now converged and embraced the service management and orchestration (SMO) framework for a more open and centralized approach to scalable automation across multi-vendor environments. The SMO offers capabilities to orchestrate the deployment and management of network functions into the open cloud infrastructure. In turn, the non-real-time RAN Intelligent Controller (non-RT RIC), a sub-function of the SMO, offers capabilities to enable the implementation of automation and optimization use cases. Together the SMO and non-RT RIC provide a multi-vendor platform that enables intelligent RAN management and automation via "rApps".

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CSPs current and future ambitions on Autonomous Network

*Source: TM Forum survey 2025, 141 respondents from 91 CSPs​

What % of processes and tasks can become autonomous through AI?

**Agentic AI and autonomy: CSPs set out their strategies, 100 respondents from 68 CSPs​. Source: TM Forum survey, 2025

How rApps are accelerating the journey to autonomous RAN operations: a research report by Analysys Mason

 

Analysys Mason

 

Read the report

What are rApps?

rApps are modular, cloud-native, software applications which utilizes the capabilities of the SMO and are deployed, and managed, on the Non-RT RIC. They use the Non-RT RIC’s network-wide data, analytics, and policy capabilities to observe, manage, and optimize the RAN. In contrast to operations that require swift response times and execution in the radio network functions, rApps operate on “higher-level” control loops – acting on timescales of one second or longer depending on their scope and use case. This makes them well suited for functions such as policy guidance, optimization strategies, automation workflows and model-driven recommendations.

Such other high-level operations benefit from a centralized location, having a broader view of the network and its data. By centralizing compute resources rApps are more flexible than other software applications used for network management. allowing CSPs to manage data resources more efficiently and to achieve higher scale and margins.

If the RAN is an orchestra, the network functions are the musicians and rApps are their conductor. Just like each musician in the orchestra can be a virtuoso, a conductor there to coordinate the players into a well-balanced performance. In the same way rApps help harmonize RAN functions through orchestrated, high-level, automation with the ultimate purpose to get the most out of the radio network.

The SMO architecture that enables rApps increases openness and a wider ecosystem of industry developments. This open nature allows the development of rApps by CSPs, vendors, and third parties. The open nature of rApps allows for the development of rApps by CPSs, vendor and third parties - enabling faster industry innovation and an environment in which multiple players can benefit.

What do rApps do?

rApps empower communications service providers to automatically evolve, deploy, optimize, and heal their networks, bringing a new level of autonomous network management and optimization to the forefront.

The types of network automation functionality that rApps can implement is extensive depending on their objectives. For example, rApps can perform consistency checks, failure detection, performance monitoring and network optimization.

Depending on the task, an rApp will consider different data sources, and include different algorithms or AI/ML models. By utilizing machine learning modules using historical data, network performance and be predicated to simulated under various configurations. The outcome can be a report, a configuration proposal or data that another application could use.

Ericsson proposes two-layer AI approach to RAN automation, so that intelligence is applied where it delivers the greatest impact. Real-time AI embedded directly in the RAN reacts within milliseconds to handle time-critical decisions that keep services stable and efficient, while centralized AI running in rApps takes a broader, strategic view using large data sets across the network and over longer time horizons. Together with intent and observability, this layered model ensures the network clearly understands what it needs to achieve and has the data to continuously make and validate the right decisions.

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rApps enhance efficiency and optimize network performance across all stages of the network lifecycle and are classified into four different categories:

Our network evolution rApps are engineered to enhance your network planning and dimensioning based on data driven and intent-based insights and recommendations. This ensures that network assets can be evolved through the prediction and anticipation of network changes, securing network investments that fully align with your business strategy.

Explore network evolution rApps

Our network evolution rApps are engineered to enhance your network planning and dimensioning based on data driven and intent-based insights and recommendations. This ensures that network assets can be evolved through the prediction and anticipation of network changes, securing network investments that fully align with your business strategy.

Explore network deployment rApps

Our network optimization rApps offer intelligent autonomous functions to optimize your customer experience from service assurance to performance diagnostics and network energy efficiency.

Through software that automatically maximizes your network capacity and performance for peak efficiency, you can continually ensure a high return on your network investments.

Explore network optimization rApps

Our network healing rApps are engineered to secure your network’s availability and service continuity at the lowest possible OPEX. This is driven through AI-powered resolution of both basic and complex network incidents, ensuring that service disruptions are detected and corrected for the lowest possible impact on your user experience.

Explore network healing rApps

Explore rApps software and solutions

Ericsson rApps

Ericsson rApp software supports new ways to automate, innovate and enhance your RAN operations beyond today’s limits - all through simple software updates.

Explore our rApps

Ericsson Intelligent Automation platform

The Ericsson Intelligent Automation Platform (EIAP) is our leading open network management and automation platform.

Learn more about the EIAP

Join an industry leading ecosystem

The EIAP ecosystem empowers Ericsson, CSPs and third-party developers with all the capabilities needed to build, validate, share and operate rApps.

Explore the EIAP ecosystem

Hear from the experts

#rAppItUp video series

Hear from our experts how rApps reduce management costs, speed up innovation, and optimize every use case.

Watch the series

One vision, multiple views on taking RAN automation into the future

Hear from our experts how rApps reduce management costs, speed up innovation, and optimize every use case.

Read the guide

Power of the ecosystem for RAN Automation

The panel discussion at MWC25 brought together top industry experts who shared their thoughts on rApps, AI, network automation, and the importance of collaboration.

Watch the panel

Exciting rApps applications on the horizon

Ericsson rApp Directory 

The Ericsson rApp Directory allows you to discover new rApps, learn about their cutting-edge features, and easily connect with app owners who can guide you on how to boost your network automation. Start your journey today and unlock the full potential of your network.

Learn more

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