Ericsson has conducted successful tests of AI-native link adaptation with Bell Canada, showcasing a 20% increase in downlink throughput and a 10% boost in spectral efficiency. This technology leverages AI to dynamically adapt to signal quality and interference in real-time, significantly enhancing network performance. Senior VP of Networks at Bell Canada, Mark McDonald, emphasized the potential of this groundbreaking technology to transform network management. Ericsson's development of this solution at its Ottawa site reflects its commitment to innovation in radio access networks, aligning with its participation in the AI-RAN Alliance.
We are proud to be the first operator globally to field test this groundbreaking technology with Ericsson... AI-native link adaptation has the potential to revolutionize how we manage network resources, delivering faster speeds and more reliable connections.
The technology, which was developed at Ericsson's Ottawa research and development site, integrates AI into subcomponents... This AI-native approach enables it to operate in real time and more robustly to adjust.
Ericsson says that AI-native link adaptation is the use of artificial intelligence in real time to respond to changes in a signal quality, interference, and other factors.
AI is a powerful tool for network operators... McKinsey & Company pointed to four ways in which broadband providers can use AI.
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