Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements

Author:

Skocaj Marco1,Conserva Francesca1,Grande Nicol Sarcone1,Orsi Andrea2,Micheli Davide2,Ghinamo Giorgio2,Bizzarri Simone2,Verdone Roberto1

Affiliation:

1. DEI, University of Bologna, & WiLab, CNIT,Italy

2. TIM,Italy

Funder

Horizon Europe

Publisher

IEEE

Reference17 articles.

1. A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

2. Weight uncertainty in neural network;blundell;International Conference on Machine Learning,2015

3. Inductive representation learning on large graphs;hamilton;Advances in neural information processing systems,2017

4. Relational inductive biases, deep learning, and graph networks;battaglia,2018

5. Feasibility study for evolved Universal Terrestrial Radio Access (UTRA) and Universal Terrestrial Radio Access Network (UTRAN);3rd Generation Partnership Project (3GPP) Technical Report (TR),2022

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