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 …
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach
In this paper, we propose to leverage the emerging deep learning techniques for
spatiotemporal modeling and prediction in cellular networks, based on big system data …
spatiotemporal modeling and prediction in cellular networks, based on big system data …
Citywide cellular traffic prediction based on densely connected convolutional neural networks
With accurate traffic prediction, future cellular networks can make self-management and
embrace intelligent and efficient automation. This letter devotes itself to citywide cellular …
embrace intelligent and efficient automation. This letter devotes itself to citywide cellular …
Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
Spatial–temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism
Z Chen, Z Lu, Q Chen, H Zhong, Y Zhang, J Xue… - Information Sciences, 2022 - Elsevier
Short-term traffic flow prediction is a core branch of intelligent traffic systems (ITS) and plays
an important role in traffic management. The graph convolution network (GCN) is widely …
an important role in traffic management. The graph convolution network (GCN) is widely …
Deeptp: An end-to-end neural network for mobile cellular traffic prediction
The past 10 years have witnessed the rapid growth of global mobile cellular traffic demands
due to the popularity of mobile devices. While accurate traffic prediction becomes extremely …
due to the popularity of mobile devices. While accurate traffic prediction becomes extremely …
Short-time traffic flow prediction with ARIMA-GARCH model
Short-time traffic flow prediction is a significant interest in transportation study, and it is
essential in congestion control and traffic network management. In this paper, we propose …
essential in congestion control and traffic network management. In this paper, we propose …
Network traffic prediction based on deep belief network in wireless mesh backbone networks
Wireless mesh network is prevalent for providing a decentralized access for users. For a
wireless mesh backbone network, it has obtained extensive attention because of its large …
wireless mesh backbone network, it has obtained extensive attention because of its large …
Cellular traffic load prediction with LSTM and Gaussian process regression
Accurate cellular traffic load prediction is a pre-requisite for efficient and automatic network
planning and management. Considering diverse users' activities at different locations and …
planning and management. Considering diverse users' activities at different locations and …
[HTML][HTML] Long-term data traffic forecasting for network dimensioning in LTE with short time series
Network dimensioning is a critical task in current mobile networks, as any failure in this
process leads to degraded user experience or unnecessary upgrades of network resources …
process leads to degraded user experience or unnecessary upgrades of network resources …