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Artificial Intelligence and Radio Access Networks

AI-powered radio access networks - AI RAN

AI RAN - Artificial Intelligence and Radio Access Networks

How do you improve your network performance and user experience in today’s densified networks? Artificial intelligence is one of the keys in conquering these challenges, for LTE as well as 5G.

Imagine the network efficiencies that could be gained if radio frequency bands and traffic were managed automatically through artificial intelligence. 5G coverage could be secured and the user experience would never suffer. We now enable a unique means of optimizing the radio access networks: by adding AI to the baseband. Our new AI functionalities are optimized for the RAN Compute architecture and havethe advantage to run close to the radios, bringing down feedback loops to less than 10 milliseconds.

The AI algorithms analyze vast amounts of traffic data and network load in real time, without impacting the capacity of the network. This enables instant traffic predictions in the network, without the need for extra hardware, and without site visits. So, whether it’s secure extended 5G coverage you’re after or improved LTE performance, AI from Ericsson will get you further.

Artificial Intelligence (AI) highlights from Ulf Rydin, Head of Product Line 4G RAN

Ulf Rydin, Head of Product Area 4G RAN, Ericsson, says: “Ericsson is developing advanced AI capabilities so service providers can improve network performance continuously and deliver an optimal user experience. AI is key to increasing speeds and predicting traffic, in real time. Our new AI capabilities have been optimized for the RAN Compute, while preserving full capacity. We now offer a key set of new features for increased 5G coverage and LTE performance – all enabled by a straightforward software upgrade."

The latest capabilities

New AI (Artificial Intelligence) capabilities further optimize the distribution of mobile traffic, and will be available with the 5G Plug-Ins.

Advanced traffic management

Our new AI capabilities further optimize the distribution of traffic, and will be available with the 5G Plug-Ins. These functionalities provide extended 5G coverage, and more intelligence for the dynamic distribution of users across frequencies improving the user experience.

AI functions for LTE will increase network performance

Evolved carrier optimization

We additionally introduce AI functions for LTE that enable a four times greater LTE uplink throughput and an improved user experience to a broad ecosystem of high-end smartphones.

Key benefits

Superior user experience

A better experience for users of both 5G and LTE devices. With four times more uplink capacity, and a prediction based carrier aggregation, our AI capabilities are now making smartphones even smarter.

Improved network performance

The continuous analysis of surrounding cells enables our AI to improve network performance significantly. With AI on the RAN Compute, the feedback loops are instant and the network decisions are smarter. What's more, 5G coverage improves by up to 25 percent.

Efficiency gains

Service providers will see spectrum efficiency gains and cost savings. No extra hardware is required. No site visits are necessary. It's simply a matter of upgrading to the latest release and enjoying a smoother 5G rollout.

5G platform

Be amongst  the first to market with a 5G Network. Grow 4G capacity in your network now and unlock your full 5G potential with Ericsson's experience, skills and solutions.

RAN Compute

Radio access network processing platform in the Ericsson Radio System, including basebands and radio processors.

5G plug-Ins

5G Plug-In solution offer premium software innovations that boost the capabilities of today’s LTE networks

Artificial Intelligence Report (AI Report)

This AI (artificial intelligence) report examines how far providers have already implemented AI, shares the experiences and challenges they have encountered, and looks at their plans for future deployment.

AI enables the intelligent network

Learn more in the Ericsson Blog about AI in the Radio Access Network. It is about letting the hardware adjust its decision-making capability and allowing it to learn from patterns. Learning can improve the baseband functionality, which otherwise acts based on hard-coded settings.

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