- Spatiotemporal modeling and prediction in cellular networks🔍
- Spatiotemporal Modeling and Prediction in Cellular Networks🔍
- [PDF] Spatiotemporal modeling and prediction in cellular networks🔍
- Spatio|temporal analysis and prediction of cellular traffic in metropolis🔍
- A spatio|temporal prediction methodology based on deep learning ...🔍
- A Spatio|temporal Prediction Methodology Based on Deep Learning ...🔍
- Spatiotemporal Modeling of Mitochondrial Network Architecture🔍
- Research on spatio|temporal network prediction model of parallel ...🔍
Spatiotemporal Modeling and Prediction in Cellular Networks
Spatiotemporal modeling and prediction in cellular networks: A big ...
In this paper, we propose to leverage the emerging deep learning techniques for spatiotemporal modeling and prediction in cellular networks, based on big ...
We also present some results to justify effectiveness of the autoencoder-based spatial model. Index Items: Cellular Network; Big Data; Spatiotemporal Mod- eling ...
[PDF] Spatiotemporal modeling and prediction in cellular networks
A hybrid deep learning model for spatiotemporal prediction, which includes a novel autoencoder-based deep model for spatial modeling and Long Short-Term ...
Spatiotemporal modeling and prediction in cellular networks: A big ...
Request PDF | On May 1, 2017, Jing Wang and others published Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning ...
Spatiotemporal modeling and prediction in cellular networks: A big ...
We conducted extensive experiments to evaluate the performance of the proposed model using the China Mobile dataset. The results show that the ...
Spatio-temporal analysis and prediction of cellular traffic in metropolis
To explicitly characterize and effectively model the spatio-temporal dependency of urban cellular traffic, we propose a novel decomposition of in-cell and inter ...
A spatio-temporal prediction methodology based on deep learning ...
In particular, in the context of cellular networks, a spatio-temporal prediction has been presented with CNN-RNN [19], [20], by combining auto-encoder and LSTM ...
Spatiotemporal modeling and prediction in cellular networks: A big ...
1) Our model can capture the detailed daily changes of temporal and spatial model behaviors and achieves better prediction performance compared ...
A Spatio-temporal Prediction Methodology Based on Deep Learning ...
Deep Learning (DL) methods (i.e. Convolutional Neural Network (CNN), Simple Recurrent Neural Network (SRNN), Gated Recurrent Unit (GRU), Long Short-Term Memory ...
Spatiotemporal Modeling of Mitochondrial Network Architecture
This spatially resolved modeling and simulation framework helps elucidate the emergence of cellular scale network structures, and allows for ...
Research on spatio-temporal network prediction model of parallel ...
Then, a deep learning model named Transformer-Graph Convolutional Attention Networks (TRGCAT) is further used to predict the multi-flow in the traffic network.
Spatio-Temporal Cellular Network Traffic Prediction Using Multi ...
How- ever, the existing studies just focus on the spatio-temporal modeling of traffic data of single net- work service, such as short message, call, or Internet ...
Geographical Cellular Traffic Prediction with Multivariate Spatio ...
Geographical Cellular Traffic, Multivariate Spatio-Temporal Modeling, Graph Neural Network. 1. Introduction. Recently, traffic prediction has ...
A Multivariate Approach for Spatiotemporal Mobile Data Traffic ...
The model is built on mobile traffic data collected from a Network Operator for Long-Term Evolution (LTE) network. The results confirm that the ...
Spatio-Temporal Analysis and Prediction of Cellular Traffic in ...
To explicitly characterize and effectively model the spatio-temporal dependency of urban cellular traffic, we propose a novel decomposition of in-cell and inter ...
A Spatio-Temporal Fine-Granular User Traffic Prediction System for ...
Abstract—While traffic modeling and prediction are at the heart of providing high-quality telecommunication services in cellular networks and attract much ...
Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot ...
With geocoding and spatio-temporal graphs modeling algorithms, CDSs records collected from mobile devices are modeled as dynamic graphs with spatio-temporal ...
A Survey on Deep Learning for Cellular Traffic Prediction
For example, predicting the traffic flow of multiple base stations in a cellular network, which often influence each other spatially due to user handover, is a ...
[PDF] Spatial-Temporal Cellular Traffic Prediction for 5G and Beyond
33 References · Mobile Demand Forecasting via Deep Graph-Sequence Spatiotemporal Modeling in Cellular Networks · STEP: A Spatio-Temporal Fine-Granular User ...
A Spatio-temporal Graph Neural Network Approach - HAL
Handover Forecasting in Cellular Networks: A ... Wang, “A hybrid handover forecasting mechanism based on fuzzy forecasting model in cellular.