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Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …
as a tutorial to the topic. We examine works based on autoregressive moving average …
A survey of intelligent end-to-end networking solutions: Integrating graph neural networks and deep reinforcement learning approaches
This paper provides a comprehensive survey of the integration of graph neural networks
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
Path signature-based xai-enabled network time series classification
L Sun, Y Wang, Y Ren, F ** based on distributed reinforcement learning for multimedia streaming over 5G-VANET communication technology
Vehicles serve as mobile nodes in a high-mobility MANET technique known as the vehicular
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
From graph theory to graph neural networks (GNNs): The opportunities of GNNs in power electronics
Graph theory within power electronics, developed over a 50-year span, is continually
evolving, necessitating ongoing research endeavors. Facing with the never-been-seen …
evolving, necessitating ongoing research endeavors. Facing with the never-been-seen …
[HTML][HTML] Internet traffic prediction with distributed multi-agent learning
Internet traffic prediction has been considered a research topic and the basis for intelligent
network management and planning, eg, elastic network service provision and content …
network management and planning, eg, elastic network service provision and content …
Resource Demand Prediction for Network Slices in 5G using ML Enhanced with Network Models
LA Garrido, A Dalgkitsis, K Ramantas… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The new technologies introduced by 5G, such as network slicing, will improve the
capabilities of Vehicle-to-Vehicle (V2V) communications, enabling the introduction of a new …
capabilities of Vehicle-to-Vehicle (V2V) communications, enabling the introduction of a new …
[HTML][HTML] Deep learning for predicting traffic in V2X networks
AR Abdellah, A Muthanna, MH Essai, A Koucheryavy - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) is capable of addressing the complexities and difficulties of fifth-
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …