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In this work, we design, develop and evaluate such a service-aware approach for the telecommunications network. By employing Machine Learning, we are able to ...
May 3, 2022 · In this work, we design, develop and evaluate such a service-aware approach for the telecommunications network. By employing Machine Learning, ...
By employing Machine Learning, we are able to classify and predict traffic exchanges made over the network, and appropriately dynamically allocate the slices in ...
May 3, 2024 · On Predicting Service-oriented Network Slices Performances in 5G: A Federated Learning Approach. Conference Paper. Nov 2020.
May 2, 2024 · Demo Session · Enabling Large-Scale Human Genome Sequence Analysis on CloudLab · AI-driven Service-aware Real-time Slicing for beyond 5G Networks.
May 2, 2024 · In this paper, we design and implement a service-aware network managed from the network edge. We utilize and assess various Machine Learning ...
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Aug 27, 2024 · This paper proposes a novel approach that predicts when to retrain AI/ML models using Generative Artificial Intelligence. The proposed ...
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In [15], an SDN-enabled 5G VANET is introduced, where neighboring vehicles are clustered in an adaptive manner, according to real-time road conditions based.
Apr 7, 2021 · We propose a framework to orchestrate resources for 5G networks by leveraging Machine Learning (ML) techniques.
Jan 21, 2024 · In this article, we explore how dynamic spectrum sharing has matured in Release 17 and analyze the pivotal role AI/ML is set to play in Release 18.