Cargando…
5G Traffic Prediction Based on Deep Learning
The demand of wireless access users is increasing explosively. The 5G network traffic is increasing exponentially and showing a trend of diversity and heterogeneity, which makes network traffic forecasting face many challenges. By studying the actual performance of the 5G network, this paper makes a...
Autor principal: | Gao, Zihang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249458/ https://www.ncbi.nlm.nih.gov/pubmed/35785055 http://dx.doi.org/10.1155/2022/3174530 |
Ejemplares similares
-
Deep Learning Based Traffic Prediction Method for Digital Twin Network
por: Lai, Junyu, et al.
Publicado: (2023) -
Multiservice-Based Traffic Scheduling for 5G Access Traffic Steering, Switching and Splitting
por: Ba, Xinran, et al.
Publicado: (2022) -
Traffic prediction in SDN for explainable QoS using deep learning approach
por: Wassie, Getahun, et al.
Publicado: (2023) -
Deep Learning-Based Road Traffic Noise Annoyance Assessment
por: Wang, Jie, et al.
Publicado: (2023) -
Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data
por: Shang, Qiang, et al.
Publicado: (2022)