Generation of Synthetic Network Traffic Series Using a Transformed Autoregressive Model Based Adaptive Algorithm
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/9907/8932328/08932335.pdf?arnumber=8932335
Cited by 5 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
1. Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24
2. Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
3. Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
4. Knowledge Enhanced GAN for IoT Traffic Generation;Proceedings of the ACM Web Conference 2022;2022-04-25
5. Network traffic prediction model based on ensemble empirical mode decomposition and multiple models;International Journal of Communication Systems;2021-09
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