Fujitsu to Improve 5G+ Network Performance with AI Models

Fujitsu announces Virtuora IA, a collection of AI-powered network applications that utilise machine learning to improve mobile network performance

In the fast-moving climate of digital transformation, 5G is continually being used as a solution to improve bandwidth and expand use cases for AI and the Internet of Things (IoT).

With this in mind, Fujitsu Network Communications announces Virtuora IA. These are network applications powered by AI that use network-focused machine learning models and telecommunications expertise. The applications are designed to improve mobile network operators’ (MNOs) network performance by making their operations more efficient.

The use of neural networking modelling aims to provide more practical network optimisation benefits that aim to offer a competitive advantage in the current 5G market.

Streamlining complex network operations

AI is fast-becoming a priority for businesses worldwide, with its ability to improve business operations and customer experience. As the technology continues to grow, AI ultimately has the power to boost operations within the telecommunications sector by improving connectivity on a much larger scale.

As a result, there is plenty of increased pressure from customers and business leaders to reduce operations costs and to tackle ever-expanding network complexities. As a result, MNOs are requiring new tools to minimise total cost of ownership (TCO).

Fujitsu is therefore utilising AI to allow MNOs to streamline complex network operations, improve performance and service speed, in addition to reducing costs. The end goal is to generate additional revenue streams for operators and boost workplace productivity.

The company is aiming to leverage neural network modelling with pre-trained machine learning models to power network applications with AI. With a software architecture that is compatible with large language model (LLM) technology and generative AI (Gen AI), the applications are able to offer continuous learning and self-healing multi-vendor networks.

This will enable greater reduction in problem resolution times, the elimination of repetitive tasks and operations to achieve greater accuracy.

The company has already been very active in AI development, having partnered with RIKEN towards the end of 2023 to develop AI-based healthcare solutions. The company offers a range of AI-led solutions for industries such as healthcare and fintech, with the Fujitsu AI platform enabling users to quickly test advanced technologies and improve positive outcomes.

It has also previously collaborated with big technology companies like Dell to utilise open RAN to deploy 5G on a larger scale.

Improving efficiency with machine learning

The new network applications are also able to help MNOs investigate network problems and service disruptions. Virtuora IA applies real-time inference to develop precise analysis of problems, creating multi-vendor and multi-domain machine learning models that use a neural network to provide network insights.

Machine learning technology continues to be important within a business context, with the market expected to boom to nearly US$2tn by 2030.

Given that the models can adapt to changing network behaviour, they can enable faster solutions and fixes for network issues or anomalies.

“Our innovative new AI-powered network applications are part of an expanding portfolio of intelligent software solutions designed to help network operators realise light-touch operations for greater agility, lower TCO and unrivalled performance,” says Greg Manganello, Senior Vice President of the Network Software and Integration Business Unit at Fujitsu. 

“We have combined decades of network operations experience with our extensive AI research to deliver immediate business value within a trusted multi-vendor network management ecosystem.”

Fujitsu at MWC Barcelona 2024

Fujitsu is delivering a range of AI-powered applications focused on power savings and network optimisation. They are at MWC Barcelona 2024 between 26-29th February 2024.


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