A novel hybrid deep learning approach for 5G network traffic control and forecasting
Summary 5G is planned to link not just traditional devices such as tablets and smartphones,
but also smart devices, smart homes, autonomous vehicles, and industry 4.0 which …
but also smart devices, smart homes, autonomous vehicles, and industry 4.0 which …
5G network traffic control: a temporal analysis and forecasting of cumulative network activity using machine learning and deep learning technologies
In fifth generation (5G), traffic forecasting is one of the target areas for research to offer better
service to the users. In order to enhance the services, researchers have provided deep …
service to the users. In order to enhance the services, researchers have provided deep …
Improving traffic forecasting for 5G core network scalability: A machine learning approach
5G is expected to provide network connectivity to not only classical devices (ie, tablets,
smartphones, etc.) but also to the IoT, which will drastically increase the traffic load carried …
smartphones, etc.) but also to the IoT, which will drastically increase the traffic load carried …
Demonstration of Real-Time Traffic Forecast on a Live 5G Testbed
Network Virtualization is considered as a main pillar in the architecture of future wireless
communication networks. Virtualization is fundamental for the implementation of different …
communication networks. Virtualization is fundamental for the implementation of different …
[PDF][PDF] Исследование методов прогнозирования трафика в сетях 5G на основе глубокого обучения
АР Абделлах, АЕ Кучерявый - СПбНТОРЭС: труды ежегодной …, 2020 - conf-ntores.etu.ru
This study provides a robust solution based on artificial intelligence (AI) methods to
overcome problems in 5G network traffic that can affect overall performance. Predicting …
overcome problems in 5G network traffic that can affect overall performance. Predicting …
An intelligent traffic prediction framework for 5G network using SDN and fusion learning
KT Selvi, R Thamilselvan - Peer-to-Peer Networking and Applications, 2022 - Springer
Traffic prediction and analysis is an important part of traffic engineering in Software Defined
Networking (SDN). Effective forecasting of network traffic needs the composition of capturing …
Networking (SDN). Effective forecasting of network traffic needs the composition of capturing …
AI-based Traffic Forecasting in 5G network
M Mohseni, S Nikan, A Shami - 2022 IEEE Canadian …, 2022 - ieeexplore.ieee.org
Forecasting of the telecommunication traffic is the foundation for enabling intelligent
management features as cellular technologies evolve toward fifth-generation (5G) …
management features as cellular technologies evolve toward fifth-generation (5G) …
[HTML][HTML] Long term 5G network traffic forecasting via modeling non-stationarity with deep learning
Abstract 5G cellular networks have recently fostered a wide range of emerging applications,
but their popularity has led to traffic growth that far outpaces network expansion. This …
but their popularity has led to traffic growth that far outpaces network expansion. This …
Implementation of Network Physical Traffic Estimation Model Using 6G Intelligent Traffic Monitoring and Estimation
S Chen, Y Zhang - Wireless Personal Communications, 2024 - Springer
Data creation and heterogeneity have increased dramatically due to the recent
advancements in smart devices. To handle the evolution of network traffic, current networks …
advancements in smart devices. To handle the evolution of network traffic, current networks …
Applying big data, machine learning, and SDN/NFV to 5G traffic clustering, forecasting, and management
Traffic clustering, forecasting, and management play a crucial role in improving network
efficiency, network quality, load balancing (LB), and energy saving of mobile networks …
efficiency, network quality, load balancing (LB), and energy saving of mobile networks …