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Ericsson Technology Review 2023 issue 1

Ericsson is determined to create a universal connectivity platform for innovation, automation and digitalization that has the flexibility to grow and expand to meet the changing needs of individuals, communities and enterprises all around the globe. Fixed wireless access, the Industrial Internet of Things (IIoT), enhanced network automation, digital twins and API exposure all have key roles to play in the transition.

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March 16, 2023

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Ericsson CTO Erik Ekudden’s view on the transition to a universal connectivity platform

Ericsson is determined to create a universal connectivity platform for innovation, automation and digitalization that has the flexibility to grow and expand to meet the changing needs of individuals, communities and enterprises all around the globe. Fixed wireless access, the Industrial Internet of Things (IIoT), enhanced network automation, digital twins and API exposure all have key roles to play in the transition.

Mobile broadband has unquestionably become one of the cornerstones of social and economic development in the 21st century. Despite this, a recent report from the UN’s International Telecommunication Union (ITU) found that 37 percent of the global population has never used the internet. At Ericsson we believe that the best way to tackle this challenge of inclusion in the near term is by leveraging the potential of 5G fixed wireless access (FWA).

5G mmWave extended range is a major technological breakthrough that boosts the capacity of 5G FWA solutions by enabling the use of mmWave spectrum to serve a much larger number of homes than was previously possible. This approach makes it possible to focus mid-band resources on homes at more distant, challenging locations, thereby opening the opportunity to offer high-end “wireless fiber” services to more homes in more sparsely populated suburban, rural and unconnected areas.

Beyond greater reach, the universal connectivity platform that we envision will also require a much higher degree of automation, particularly with respect to BSS/OSS functions and deployment of software adopting Continuous Integration and Continuous Deployment (CI/CD) practices. Our latest research indicates that the most promising way to achieve this is by taking a declarative, GitOps-based approach to telecom software delivery and operation processes. One of the articles in this issue explains how.

Meanwhile, we can see that digital twins are quickly becoming a reality in a variety of different industries. Our latest research indicates that network digital twins (NDTs) have the potential to deliver massive benefits for CSPs by supporting use cases in areas such as R&D, planning, deployment and operations. As different types of tailored NDTs become more common, they can be combined to create increasingly sophisticated digital representations that can deliver even more powerful functionality for enhanced network operations.

With regard to IIoT solutions, there are signs that a growing number of large enterprises are interested in managing their own connectivity needs and building applications that leverage network characteristics and assets. The availability of properly scoped and easily accessible application programming interfaces (APIs) is essential to support this. As part of our extensive research in this area, we recently completed a proof-of-concept project with the industrial automation company ABB that demonstrates the benefits of using programmable 5G systems to support IIoT use cases. It is our belief that enterprises in the operational technology industry will soon be able to use this type of standardized exposure service to seamlessly integrate their industrial automation systems with private 5G networks provided by CSPs.

We hope you enjoy this issue of our magazine and that you will share it with your colleagues and business partners. You can find both PDF and HTML versions of all the articles here.

Erik Ekudden

Erik Ekudden, CTO Ericsson

Articles in this issue:

Creating programmable 5G systems for the Industrial IoT

Our innovative collaboration project with the operational technology company ABB has resulted in a 5G-enabled end-to-end industrial process control use case in which the 5G system is programmed using a pre-standard, prototype 5G exposure application programming interface (API).

Closing the digital divide with mmWave extended range for FWA

5G mmWave extended range extends mmWave coverage from a few hundred meters to more than 7 kilometers, dramatically expanding the applicability of mmWave for fixed wireless access (FWA) solutions globally.

Network digital twins – outlook and opportunities

Network digital twins (NDTs) improve processes, services and business outcomes by combining data and knowledge with various analytics, artificial intelligence (AI) and visualization tools. Our approach to creating them begins with the evolution of existing network and OSS functionality and the addition of new capabilities based on use-case requirements.

Realizing 5G smart-port use cases with a digital twin

To demonstrate the suitability of 5G New Radio technology to support smartport use cases of the future, Ericsson has created a digital twin of a wirelessly connected port using state-of-the-art radio propagation modeling based on GPU-accelerated computing.

Monetizing API exposure for enterprises with evolved BSS

The ability to expose APIs that enable the creation and provision of new services is essential for communication service providers that want to capitalize on emerging opportunities in the enterprise sector.

Automating telecom software deployment with GitOps

To continuously improve efficiency, proactively address security threats and fully capitalize on emerging business opportunities, communication service providers need a faster and more cost-efficient method of introducing new software features and updates into their networks.

Approaching AI-native RANs through generalization and scalability of learning

Ericsson’s innovative strategy for integrating AI into radio-access networks (RANs) focuses on generalization in the design of AI algorithms and empowering RANs with an advanced and scalable learning architecture.

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