Cell traffic prediction using joint spatio-temporal information
E Lovisotto, E Vianello, D Cazzaro… - … on Modern Circuits …, 2017 - ieeexplore.ieee.org
In future cellular networks, the ability to predict network parameters such as cell load will be
a key enabler of several proposed adaptation and resource allocation techniques. In this …
a key enabler of several proposed adaptation and resource allocation techniques. In this …
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 …
Forecasting busy-hour downlink traffic in cellular networks
A Pimpinella, F Di Giusto, AEC Redondi… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
The dramatic growth in cellular traffic volume requires cellular network operators to develop
strategies to carefully dimension and manage the available network resources. Forecasting …
strategies to carefully dimension and manage the available network resources. Forecasting …
Spatio-temporal ensemble prediction on mobile broadband network data
S Samulevicius, Y Pitarch, TB Pedersen… - 2013 IEEE 77th …, 2013 - ieeexplore.ieee.org
Facing the huge success of mobile devices, network providers ceaselessly deploy new
nodes (cells) to always guarantee a high quality of service. Nevertheless, keeping turned on …
nodes (cells) to always guarantee a high quality of service. Nevertheless, keeping turned on …
Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression
G Siracusano, A La Corte - arXiv preprint arXiv:1907.10865, 2019 - arxiv.org
The concept of mobility prediction represents one of the key enablers for an efficient
management of future cellular networks, which tend to be progressively more elaborate and …
management of future cellular networks, which tend to be progressively more elaborate and …
Multivariate spatio-temporal cellular traffic prediction with handover based clustering
We consider an RNN-based traffic volume prediction, which is a critical problem for network
slice management and resource allocation in slicing-enabled next generation cellular …
slice management and resource allocation in slicing-enabled next generation cellular …
A traffic prediction algorithm based on Bayesian spatio-temporal model in cellular network
Z Zhang, F Liu, Z Zeng, W Zhao - … International Symposium on …, 2017 - ieeexplore.ieee.org
5G communication will bring a surge traffic in cellular network. The traffic in cellular network
not only has strong variability by time, but also has strong spatio-temporal correlation, which …
not only has strong variability by time, but also has strong spatio-temporal correlation, which …
Cluster-Based Approach for Cellular Traffic Prediction with Machine Learning Methods
D Correia, FC Pinto, S Sargento… - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
Over the last decade, technologies like Fourth Generation of Cellular Communications (4G)
and Cloud computing have profoundly transformed our way of living and communicating …
and Cloud computing have profoundly transformed our way of living and communicating …
Cellular traffic prediction via deep state space models with attention mechanism
Cellular traffic prediction is of great importance for operators to manage network resources
and make decisions. Traffic is highly dynamic and influenced by many exogenous factors …
and make decisions. Traffic is highly dynamic and influenced by many exogenous factors …
Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale
Traffic characteristics over space and time constitute an important aspect of cellular networks
in consideration of resource provision, traffic engineering and system optimization. Despite …
in consideration of resource provision, traffic engineering and system optimization. Despite …