The learning and prediction of application-level traffic data in cellular networks
Traffic learning and prediction is at the heart of the evaluation of the performance of
telecommunications networks and attracts a lot of attention in wired broadband networks …
telecommunications networks and attracts a lot of attention in wired broadband networks …
Spatio-temporal wireless traffic prediction with recurrent neural network
Accurate prediction of user traffic in cellular networks is crucial to improve the system
performance in terms of energy efficiency and resource utilization. However, existing work …
performance in terms of energy efficiency and resource utilization. However, existing work …
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 …
User traffic prediction for proactive resource management: Learning-powered approaches
A Azari, P Papapetrou, S Denic… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Traffic prediction plays a vital role in efficient planning and usage of network resources in
wireless networks. While traffic prediction in wired networks is an established field, there is a …
wireless networks. While traffic prediction in wired networks is an established field, there is a …
Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data
Machine (deep) learning-enabled accurate traffic modeling and prediction is an
indispensable part for future big data-driven intelligent cellular networks, since it can help …
indispensable part for future big data-driven intelligent cellular networks, since it can help …
STEP: A spatio-temporal fine-granular user traffic prediction system for cellular networks
While traffic modeling and prediction are at the heart of providing high-quality
telecommunication services in cellular networks and attract much attention, they have been …
telecommunication services in cellular networks and attract much attention, they have been …
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 …
Traffic prediction of wireless cellular networks based on deep transfer learning and cross-domain data
Q Zeng, Q Sun, G Chen, H Duan, C Li, G Song - IEEE access, 2020 - ieeexplore.ieee.org
Wireless cellular traffic prediction is a critical issue for researchers and practitioners in the
5G/B5G field. However, it is very challenging since the wireless cellular traffic usually show …
5G/B5G field. However, it is very challenging since the wireless cellular traffic usually show …
Spatial-temporal aggregation graph convolution network for efficient mobile cellular traffic prediction
Accurate cellular traffic prediction is challenging due to the complex spatial topology of
cellular network and the dynamic temporal feature of mobile traffic. To overcome these …
cellular network and the dynamic temporal feature of mobile traffic. To overcome these …
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 …