Ericsson and Tokyo City Uni team up on AI
The two organisations have signed a collaborative research agreement that will see them working towards improving the efficiency of LTE network operations and customer experiences at a minimum cost.
The collaboration seeks to develop new algorithms and innovative techniques, requiring far fewer data samples while exceeding the results of current AI models. This will automate and minimise human labour-intensive and time-consuming dataset annotation tasks.
Another research area will be the application of advanced ‘reinforcement learning’ AI algorithms, designed to automatically adjust network parameters by learning and observing real-time performance. This will maximise user experience, especially in dynamic high-traffic scenarios, and simplify network operations.
“We have been exploring how emerging technologies in the machine intelligence area can contribute to improvement of network design, operation and performance. We hope that this collaboration will result in new algorithms for applying machine intelligence to LTE and, eventually, 5G networks of our operator customers,” said Mikael Eriksson, Head of Ericsson Japan.
“Our laboratory has been focusing on data-driven management that applies data mining technologies to address the increasing complexity of network systems. We hope that our research outcomes from this collaboration are applied to solve the real-world problems in the industry,” said Dr Kohei Shiomoto, Professor of Tokyo City University.
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