首页|Studies from IMDEA Networks Institute Yield New Information about Machine Learni ng (Athena: Machine Learning and Reasoning for Radio Resources Scheduling In Vra n Systems)
Studies from IMDEA Networks Institute Yield New Information about Machine Learni ng (Athena: Machine Learning and Reasoning for Radio Resources Scheduling In Vra n Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Madrid, Spain, by NewsRx journalists, research stated, "Next-generation mobile networks will rely on the ir autonomous operation. Virtual Network Functions empowered by Artificial Intel ligence (AI) and Machine Learning (ML) can adapt to varying environments that en compass both network conditions and the cloud platform executing them." Financial support for this research came from University Carlos III of Madrid fu nded by European Union's Horizon-Smart Networks and Services Joint Undertaking ( SNS JU)-2022 Research and Innovation Programme Project TrialsNet. The news correspondents obtained a quote from the research from IMDEA Networks I nstitute, "In this view, it becomes paramount to understand why AI/ML algorithms made a decision, to be able to reason upon those decisions and, eventually, tak e further decisions related to e.g., network orchestration. In this paper, we pr esent ATHENA, an ML-based radio resource scheduler for virtualized Radio Access Network (RAN) system. Our real-software implementation shows that the proposed M L-based approach can outperform the baseline solution."
MadridSpainEuropeCyborgsEmerging TechnologiesMachine LearningIMDEA Networks Institute
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