Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization-Reference-Cited by-同舟云学术

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Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization

Published:2024-08-24 Issue: Volume: Page:4828-4838
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
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Author:

Chai Haoye¹^ORCID,Jiang Tao²^ORCID,Yu Li³^ORCID

Affiliation:

1. Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China

2. Research Center of 6G Mobile Communications, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

3. Chinamobile Research Institute, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671544

Reference40 articles.

1. Telecommunication Development Industry Alliance. 2023. Global 5G/6G Industry Development Report. https://aimg8.dlssyht.cn/u/551001/ueditor/file/276/551001/ 1679536723602475.pdf.

2. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv:1803.01271

3. Alexandra Borgeaud. 2023. 5G deployment by country in Latin America 2023.

4. Generation of Synthetic Network Traffic Series Using a Transformed Autoregressive Model Based Adaptive Algorithm

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