Optimization of mobility sampling in dynamic networks using predictive wavelet analysis
-
Published:2024-02
Issue:
Volume:98
Page:101887
-
ISSN:1574-1192
-
Container-title:Pervasive and Mobile Computing
-
language:en
-
Short-container-title:Pervasive and Mobile Computing
Author:
Fazio PeppinoORCID,
Mehic Miralem,
De Rango Floriano,
Tropea Mauro,
Voznak Miroslav
Reference31 articles.
1. Vision, requirements and network architecture of 6G mobile network beyond 2030;Liu;China Commun. Mag.,2020
2. SOUP: Spatial-temporal demand forecasting and competitive supply;Zheng;IEEE Trans. Knowl. Data Eng.,2021
3. T. Martin, et al., Effective Machine-Learning Models for Predicting Routability During FPGA Placement, in: ACM/IEEE 3rd Workshop on Machine Learning for CAD, MLCAD, 2021.
4. A. Singh, et al., Using Deep Reinforcement Learning for Routing in IP Networks, in: International Conference on Computer Communications and Networks, ICCCN, 2021.
5. R. Xu, et al., DarkTE: Towards Dark Traffic Engineering in Data Center Networks with Ensemble Learning, in: IEEE 19th International Symposium on Quality of Service, IWQOS, 2021.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献