An Exemplification of Decisions of Machine Learning Classifiers to ...
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In this paper, we provide a proof-of-concept, and investigation of the decision accuracy of Machine Learning (ML) based prediction of mobile HOs in real-time.
Learning Classifiers to Predict Handover in a. 5G/4G/3G Cellular Communications Network. Ashraf Tahat. Department of Communications. Engineering. Princess ...
An Exemplification of Decisions of Machine Learning Classifiers to Predict Handover in a 5G/4G/3G Cellular Communications Network. A Tahat, F Wahhab, T A ...
This survey focuses on exploring and comparing artificial intelligence (AI)-based intelligent HO solutions that can optimize HO in 5G NR and 6G networks.
An Exemplification of Decisions of Machine Learning Classifiers to Predict Handover in a 5G/4G/3G Cellular Communications Network. Conference Paper. Full-text ...
Bandwidth Prediction in 5G Mobile Networks Using Informer · An Exemplification of Decisions of Machine Learning Classifiers to Predict Handover in a 5G/4G/3G ...
Feb 26, 2022 · We develop classification and regression based prediction models, which achieve more than 80% accuracy in predicting handoffs between 4G and 5G ...
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This review provides a limited perspective on the use of machine learning (ML)-developed algorithms to HO management in cellular networking, with a special ...
Missing: Exemplification | Show results with:Exemplification
Jun 14, 2022 · Through learning from historic data, supervised machine learning models can make predictions of upcoming handovers, enabling the network to ...
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This letter covers a broad comparison of methods for classification and regression applications for a user-level handover decision making in scenarios with ...
Missing: Exemplification | Show results with:Exemplification