Fatehi, Kavan, Rahmani, Mostafa orcid.org/0000-0002-7943-9977, Grace, David orcid.org/0000-0003-4493-7498 et al. (3 more authors) (2026) PhysDiff-Net: Physics-Guided Diffusion for Synthetic Wireless Traffic Generation. IEEE Transactions on Machine Learning in Communications and Networking. ISSN: 2831-316X
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Dates: |
|
| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
| Date Deposited: | 21 Oct 2026 10:07 |
| Last Modified: | 21 Oct 2026 10:13 |
| Published Version: | https://doi.org/10.1109/TMLCN.2026.3741046 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1109/TMLCN.2026.3741046 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:247029 |
Download
Filename: PhysDiff-Net_Physics-Guided_Diffusion_for_Synthetic_Wireless_Traffic_Generation.pdf
Description: PhysDiff-Net_Physics-Guided_Diffusion_for_Synthetic_Wireless_Traffic_Generation
Licence: CC-BY 2.5

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)