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 …
Traffic prediction based on ensemble machine learning strategies with bagging and lightgbm
H Xia, X Wei, Y Gao, H Lv - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the development of mobile networks, one of the main challenges is performing accurate
prediction in order to maximize resource usage, saving energy and improving quality of …
prediction in order to maximize resource usage, saving energy and improving quality of …
DeepAuto: A hierarchical deep learning framework for real-time prediction in cellular networks
A Bhorkar, K Zhang, J Wang - arXiv preprint arXiv:2001.01553, 2019 - arxiv.org
Accurate real-time forecasting of key performance indicators (KPIs) is an essential
requirement for various LTE/5G radio access network (RAN) automation. However, an …
requirement for various LTE/5G radio access network (RAN) automation. However, an …
Self-similarity analysis and application of network traffic
Y Xu, Q Li, S Meng - Mobile Computing, Applications, and Services: 10th …, 2019 - Springer
Network traffic prediction is not only an academic problem, but also a concern of industry
and network performance department. Efficient prediction of network traffic is helpful for …
and network performance department. Efficient prediction of network traffic is helpful for …
Multivariate time-series prediction for traffic in large WAN topology
B Mohammed, N Krishnaswamy… - 2019 ACM/IEEE …, 2019 - ieeexplore.ieee.org
Network traffic behavior is noisy and random, making it difficult to find patterns and predict
future behavior. In this paper, we develop statistical models that use multivariate data model …
future behavior. In this paper, we develop statistical models that use multivariate data model …
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 …