Data for: AoI Minimization in Roadside Multi-RIS-Aided Vehicular Networks Under Imperfect and Outdated CSI with Switching Delay
Description
This fixed replication package contains the source-code snapshot, reproduction scripts, dependency declarations, processed numerical results, per-setting simulation configurations, evaluation summaries, training histories, convergence records, and final pretrained model checkpoints supporting the article "AoI Minimization in Roadside Multi-RIS-Aided Vehicular Networks Under Imperfect and Outdated CSI with Switching Delay." The plotting artifacts are organized by the public figure sequence and include the data required to inspect the reported results and redraw the released figures without retraining. The related GitHub repository provides the actively maintained source-code version.
Files
Steps to reproduce
1. Extract `FSA-BDQ-RIS-AoI_source_code.zip`, or obtain the actively maintained source code from the related GitHub repository. 2. Extract the plotting-data, training-log, and trained-model archives into the source-code root. 3. Install the dependencies listed in the repository. 4. Run `python scripts/redraw_cached_figures.py`. 5. Run `python scripts/sync_public_figures.py`.
Institutions
- Hebei UniversityHebei, Baoding