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Maximizing business value with automation

Network automation

The demand for mobile connectivity is booming, and an array of new use cases has created greater opportunities for network monetization. But customer expectations and network complexity have also increased. Automation is the key to mastering this balance, allowing service providers to manage multiple layers and technologies in a multivendor environment, while also delivering a differentiated user experience and greater scalability.

Network automation explained

Network automation is the process of using software and artificial intelligence (AI) to plan, deploy, configure, orchestrate, analyze and assure mobile networks and services. It removes manual steps from these processes to achieve greater efficiency and meet the demands placed on networks by modern use cases. 

With the use of computer algorithms to automate and analyze networks and operations, we can understand and manage them more simply and efficiently than ever before, significantly impacting results and saving resources that can be better used elsewhere.

Examples of network aspects that can be automated include:

  • Service activation 
  • Maintenance
  • Resource allocation
  • Interference management
The evolution of network automation
The graph shows the evolution of mobile network generations from 2G to 6G, illustrating how operational performance and complexity increase over time. It highlights key technologies and services introduced with each generation, such as: 2G: SMS 3G: Video Call 4G: Mobile Broadband (MBB) 5G: Enhanced MBB (eMBB), Fixed Wireless Access (FWA), IoT, SD-WAN, Dedicated Networks, Network Slicing, URLLC* 6G: Smart Industry The graph emphasizes how each new generation brings greater business opportunities.

The evolution of network automation

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The path to more autonomy

New network demands create new complexities and challenges

Fulfilling the full potential of the 5G era and beyond will only be possible with the help of increased network automation. Mobile networks have become much more sophisticated at the same time as telcos seek greater operational efficiency, simplified resource management and minimal costs. All while their customers place more importance on a seamless user experience. In some cases this seamless performance underpins services that are critical to society.

Intelligent automation is essential in order to succeed in this context. Traditional, manual processes are no longer sufficient to meet the cost and performance demands placed on networks. Solutions exist today to leverage automation for greater operational efficiency, better performance and lowered expenses, as well as shorter time to market and improved scalability. The automation journey is already underway and accelerating – it’s time to get on board.

Key drivers for automation in telecommunications networks

Source: Omdia Telco Network Automation Survey 2023

Benefits and opportunities

Leveraging the power of network automation can be transformative. From performance improvements, more effective use of resources and energy savings, to cost reductions, reduced time to market and more.

Performance reliability

Maintaining the high standards customers demand can be a challenge when paired with today’s level of network complexity. Leveraging automation and AI makes it easier to navigate this and achieve consistently high network performance. The result is not only an improved user experience, but also the benefits for customer retention that come with it.

Operational efficiencies

By automating repetitive tasks and ensuring they are resolved in an efficient manner, costs can be reduced while staff and resources are at the same time freed up to use in other valuable areas. Leveraging algorithms can ultimately lead to dramatic improvements in network capacity planning and optimization. It is even possible to predict outages and degradation, reducing costly downtime.

Energy savings

Rising energy costs and the enforcement of net-zero targets mean achieving sustainable operations is now a must-have. Leveraging automation in the network makes it possible to detect energy efficiencies and address them in a timely manner, as well as channel energy to hardware only when it is needed, in order to achieve more efficient energy usage without impacting performance.

Faster time to market

With the help of automation, network updates and new services can be delivered in a much more agile manner, significantly improving time to market. A high degree of reliability due to the reduced risk of human error also helps ensure these complex services can be delivered at scale.

The path to a more autonomous network

Many communications service providers (CSPs) have already implemented some degree of automation in their networks, but the journey from automating simpler tasks to achieving a fully self-governing operational model is still ongoing. Most CSPs lie somewhere in the middle of TM Forum’s six degree scale of automation in networks, having achieved conditional automation. This means real-time environmental changes can be detected and in some network domains, plus optimization and adjustment to external environments carried out.

Achieving highly autonomous networks is the next step in this journey. In this phase, predictive analysis or active closed-loop management of service-driven and customer experience-driven networks will be possible in a complicated cross-domain environment. Continued progress depends on a number of technological and procedural enablers.

Explore autonomous networks
Programmable networks built with AI and intent
This graph illustrates how business performance potential increases with the degree of network automation. It presents six levels of network autonomy: Level 0 – Manual operations and maintenance Level 1 – Assisted operations and maintenance Level 2 – Partially autonomous network Level 3 – Conditionally autonomous network (without intent) Level 4 – Highly autonomous network (with growing AI and intent adoption) Level 5 – Fully autonomous network The trend is upward, indicating that as automation advances, so does the potential for improved business performance.

Programmable networks built with AI and intent

Essential technologies and processes for network automation

Diagram
A circular diagram titled "Essential technologies and processes", divided into seven segments, each representing a key area in network evolution and operations: Network and data management, AI technologies, Orchestration, Operational transformation, Automation platforms, Policy management and Harmonized data.

In the case of RAN, a flexible, open platform for multi-vendor, multi-technology RAN automation and orchestration is key for improving network performance and enhancing customer experience while delivering operational savings. The Ericsson Intelligent Automation platform includes full service management and orchestration (SMO) capabilities to apply automation at the necessary scale and simplify RAN complexity.

Intelligent Automation Platform  |  Intelligent Automation rApps  |  Intelligent Automation Platform Ecosystem

Advanced management solutions enable CSPs to deploy, operate, assure, evolve, automate and build intelligence into their networks in an efficient, reliable and flexible way.

Network Management and Automation​  |  Ericsson Network Manager

As our mobile networks become increasingly dynamic and multidimensional, traditional forms of network automation and optimization are no longer sufficient to address the challenges being faced. By leveraging big data and ever-expanding compute power, AI technologies are redefining the very nature of network operations, solving complex challenges where traditional solutions fall short.

AI in Networks  |  Cognitive Software  |  Transport Automation Controller

The evolution from traditional rules-based automation to intent-based networks with closed loop automation and zero human intervention requires a strategic approach – one that looks different for everyone. Expert insights and guidance on industry-leading technology, applications, implementation processes and monetization strategies are key to help support your automation journey.

Network Services  |  Managed Network Services

Orchestration is a central part of automation. By enabling closed-loop automation, it allows CSPs to control and automate their networks to create tailor-made functionality and workload placement centrally or at the edge.

Orchestration  |  Ericsson Orchestrator

The large amount of network and service configuration options in 5G means service providers need a network policy management system that simplifies and automates the programmability task for multiple policies. A reliable network policy management system is crucial to enable CSPs to differentiate services towards consumers and enterprises in a more flexible and granular way.

Network Policy Management

Achieving greater network automation is only possible with quality-assured data as a foundation. Data collected from a range of sources and formats must be treated, processed and filtered in milliseconds to support real-time consumption by machine learning models.

Harmonized Data Ingestion

Network automation use cases

Network automation for radio

Our Intelligent RAN automation solutions and services use machine learning to automate repetitive tasks and reduce complexity in the radio access network. Benefits include improved performances, enhanced customer experience, reduced operational costs and lower energy consumption.

Network automation for transport

The unique demands placed on 5G transport networks leave little margin for error, so rapidly detecting performance degradation or capacity utilization issues are essential. Ericsson Transport Automation Controller offers AI-enabled automation and control, best-in-class network observability, advanced analytics, and more.

End-to-end network service automation

Fully automated problem detection and resolution, also known as closed-loop or end-to-end service orchestration and assurance, will be an essential element of the networks of the near future. It will make it easier to develop and launch new services, and ultimately impact both functionality and profitability. Ericsson’s service orchestration uses automation to boost efficiency in these increasingly hybrid and complex network environments.

Why choose Ericsson for network automation?

Ericsson’s centralized network automation and AI solutions can have a transformative impact on your automation journey, providing a foundation to prepare for a future of autonomous, intent-based networks, and allowing you to run a more efficient, better performing and more agile network today.

Our automation solutions are prepared for multi-vendor and multi-technology environments, enabling the adoption of Open RAN and facilitating the deployment of new use cases from an open application development ecosystem.

We have taken an industry-leading role in the adoption of automation and AI in networks, introducing award-winning intent-based operations capabilities. These allow the network to respond, adapt and scale in a fully autonomous way to changes in network demands.

There is ultimately no one-size-fits-all approach to automating networks. With global experience delivering automation benefits, we leverage best practice knowledge and expert insights to tailor the right solution for your unique needs.

The impact of our network automation solutions is demonstrated in the networks of satisfied customers across the globe.

98.00 %
accuracy in issue detection & classification
20.00 mins
on average to integrate a new node
1300000.00
ML-based configuration changes / month

One vision, multiple views on RAN Automation

Five key influences are accelerating the transition to higher levels of network autonomy. This series of guides will cover each one in depth—and how to navigate the transition effectively.

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In the spotlight

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Related topics

RAN automation

Our Intelligent RAN Automation technologies, solutions and services use machine learning to automate repetitive tasks and reduce complexity in the network.

Core network and automation

To experience the unimaginable, you need a core network for 5G that isn’t just fully cloud-native and intelligently automated but supports a wide range of deployment scenarios.

Cognitive software

Ericsson offers an industry-leading suite of cognitive software solutions with multi-vendor support across radio access technologies and wide reach across the entire network lifecycle.

Transport network

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Papers and reports

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