Ericsson Technology Review

5G New Radio RAN and transport choices that minimize TCO

Ericsson Technology Review

Ericsson Technology Review (ETR) brings you insights into some of the key emerging innovations that are shaping the future of ICT. ETR aims to encourage an open discussion about the potential, practicalities, and benefits of a wide range of technical developments, and provide insight into what the future has to offer.

Erik Ekudden

Erik Ekudden, Senior Vice President and Group CTO

Ericsson CTO Erik Ekudden’s editorial for latest article

Artificial intelligence has a major role to play in helping operators automate RAN operations, boost network performance and shorten the time to market for new features. In the longer term, we believe that the integration of AI into current and future generations of cellular access will be critical to achieving our vision of creating a cellular network that constantly adapts itself both to customer requirements and to the static and dynamic characteristics of different scenarios.

The latest Ericsson Technology Review article explains how AI can be applied most effectively in three RAN performance improvement domains: network design, network optimization and RAN algorithms. Our research demonstrates that graph-based frameworks for both network design and network optimization can generate considerable benefits for operators, and that even greater benefits can be achieved in the longer term through a comprehensive AI-based RAN redesign.

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Latest articles

Enhancing RAN performance with AI

January 20, 2020

Artificial intelligence (AI) has a key role to play in helping operators achieve a high degree of automation, increase network performance and shorten time to market for new features. Our research demonstrates that graph-based frameworks for both network design and network optimization can generate considerable benefits for operators. Even greater benefits can be achieved in the longer term through a comprehensive AI-based RAN redesign.

5G New Radio RAN and transport choices that minimize TCO

November 7, 2019

By deploying self-built transport in the RAN area instead of using leased lines, mobile network operators gain access to the full range of 5G New Radio RAN architecture options and minimize their total cost of ownership (TCO).

Privacy-aware machine learning with low network footprint

October 21, 2019

Federated learning makes it possible to train machine learning models without transferring potentially sensitive user data from devices or local deployments to a central server. As such, it addresses privacy concerns at the same time that it improves functionality. Depending on the complexity of the neural network, it can also dramatically reduce the amount of data needed while training a model.

Driving transformation in the automotive and road transport ecosystem with 5G

September 13, 2019

Major mobile network operators around the world have started rolling out 5G cellular networks, with subscriber penetration expected to reach about 20 percent by 2024. One of the many benefits of these powerful, multipurpose networks is their ability to provide reliable, secure and fit-for-purpose cellular connectivity in automotive and transport applications.

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