Cellular traffic prediction with machine learning: A survey
W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …
support billions of mobile users and devices. Powered by artificial intelligence techniques …
Graph neural network for traffic forecasting: The research progress
Traffic forecasting has been regarded as the basis for many intelligent transportation system
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …
ODformer: spatial–temporal transformers for long sequence Origin–Destination matrix forecasting against cross application scenario
Origin–Destination (OD) matrices record directional flow data between pairs of OD regions.
The intricate spatiotemporal dependency in the matrices makes the OD matrix forecasting …
The intricate spatiotemporal dependency in the matrices makes the OD matrix forecasting …
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 …
Deep learning based short‐term load forecasting incorporating calendar and weather information
W Jiang - Internet Technology Letters, 2022 - Wiley Online Library
Short‐term load forecasting has been an important approach for economical and
sustainable power systems. Various methods have been proposed for obtaining an accurate …
sustainable power systems. Various methods have been proposed for obtaining an accurate …
Probabilistic-forecasting-based admission control for network slicing in software-defined networks
Network slicing is one the key features of software-defined networks (SDNs) and can be
used in next-generation communication networks. Admission control of network slices is the …
used in next-generation communication networks. Admission control of network slices is the …
When game theory meets satellite communication networks: A survey
Satellite communication networks have been considered an integral part of B5G and 6G
networks to achieve global coverage and enhanced Internet services. However, the …
networks to achieve global coverage and enhanced Internet services. However, the …
Content-aware network traffic prediction framework for quality of service-aware dynamic network resource management
Next-generation mobile networks, such as Fifth-Generation (5G), and Sixth-Generation (6G)
are envisioned to undergo an unprecedented transformation from connected things to …
are envisioned to undergo an unprecedented transformation from connected things to …
Mobile traffic prediction in consumer applications: a multimodal deep learning approach
W Jiang, Y Zhang, H Han, Z Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile traffic prediction is an important yet challenging problem in consumer applications
because of the dynamic nature of user behavior, varying application quality of service (QoS) …
because of the dynamic nature of user behavior, varying application quality of service (QoS) …
Routing hypergraph convolutional recurrent network for network traffic prediction
W Yu, K Ruan, H Tang, J Huang - Applied Intelligence, 2023 - Springer
Effectively predicting network traffic is a fundamental but intractable task in IP network
management and operations. Many methods that can capture complex spatiotemporal …
management and operations. Many methods that can capture complex spatiotemporal …