Ericsson’s Cognitive Network Solutions have joined forces with AWS to develop AI technology for self-healing mobile networks.
Behind all texting and video calls is a complex system in which telecom companies maintain billions of dollars. The partnership between Ericsson and AWS aims to make these networks smarter, as well as essentially self-sufficient.
“We are committed to providing a wide range of services,” said Jean-Christophe Laneri, Vice President of Erickson’s Cognitive Network Solutions.
“Along with Ericsson’s unique cross-domain telecom experience and insights, AWS’ global infrastructure and AI helps communications service providers adapt to changing business conditions with predictable costs and increased operational efficiency.”
When the internet stops working at home, the first calling port for most is the “off and on again” approach. Reproduce the connection and restart the router. If that fails, call customer service. Using Agent AI, this partnership aims to identify problems, test solutions, and fix issues before they are noticed. However, it’s not just a home connection, but rather to do this on a large scale of communications networks that use agent AI to serve potentially millions of people.
Fabio Cerone, general manager of AWS’ EMEA Telco Business Unit, explained: “By working together, AWS and Ericsson help telecom providers automate complex operations, reduce costs and provide better experiences for their customers. Today, we provide solutions that create business value while building towards autonomous networks.”
This technology works through RAN Automation Applications, or what is called industry “wrap.” These are sophisticated tools that allow you to learn to manage different aspects of your network. Breakthroughs arise from the way these tools use agent AI to work together to improve the network.
Technology is undoubtedly complex, but the potential benefits for everyday mobile users are simple. Networks that can predict problems and heal themselves can mean falling calls in challenging fields, more consistent data speeds, and better coverage.
For example, imagine 50,000 other fans taking part in a football game where they are trying to use their phones. Today’s networks often lie bent under such pressure. However, smarter and more autonomous networks can recognize crowds early, automatically redirect resources, and maintain quality of service without engineers intervention.
While traditional networks follow precisely programmed instructions, new approaches communicate the network with results that require results, such as “checking video streaming works well in this field,” and AI understands how to achieve this and adjusts it to changing conditions in real time.
Terminology such as “intention-based networks” and “autonomous management systems” may sound like science fiction, but they represent fundamental changes in the way services are delivered essentially. As 5G networks continue to expand and 6G approaches the horizon, the complete complexity of managing these systems is enormous to traditional approaches.
Mobile operators are under great pressure to improve services while reducing costs. At first glance, it seems like a contradictory goal. Autonomous networks provide potential solutions by enabling businesses to do more with fewer human interventions.
As our reliance on reliable connectivity grows, network performance interests continue to grow as we support everything from remote healthcare to emerging technologies such as education and self-driving cars. The partnership between these tech giants creates self-healing mobile networks that recognize that AI is not just a buzzword, but an evolution necessary for critical infrastructure.
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