SiESTA-VR reproducibility dataset, Wireless VR streaming simulation traces

This dataset gathers all data necessary to replicate the figures in the paper "SiESTA-VR, a Simulation Environment for Streaming Applications in Virtual Reality over Wi-Fi 7." Similar datasets can be generated through the SiEStA-VR simulation framework in https://github.com/wn-upf/SiEStA-VR. Archive Structure Results_section/ Simulation traces for each scenario in the paper's Results section: SLO with all ABR algorithms at 5 m, SLO/MLO at 5 m, and SLO/MLO under a random-walk mobility pattern. Each subfolder corresponds to one simulation run, with a folder name that encodes its parameters. Sweeps over parameters can be retrieved by using regular expressions (regex) matching on the subfolder names. Parameter Description T Simulation duration (s) D Client distance from the access point (m) Br Target bitrate (Mbps) FPS Frame rate Codec Video codec (HEVC or AV1) GoP Group-of-pictures size (if not using Intra-refresh) IR Intra-refresh enabled (1) or disabled (0) VBVframe Per-frame VBV (rate-control buffer) constraint enabled (1) or disabled (0) macPL MAC-layer packet loss probability aggAMPDU A-MPDU aggregation size NXR Number of XR clients NBG / BGLambda Number of background stations and their traffic arrival rate UL Uplink background traffic: 0 (DL), 1 (UL), 2 (DL/UL mixed) S Random seed ABR Adaptive bitrate algorithm identifier SLO / MLO Single-link vs. multi-link operation, with the associated latency/threshold parameter RWALK Random-walk mobility enabled (1) or disabled (0) Each run folder contains the per-client XR_stats_*.parquet session statistics files and trace_emu_effects*.csv network-emulation traces used to produce the paper's figures. XR_stats files includes per-frame metrics from feedback messages received in the simulated server application, such as the RTT (rtt_ms) , average throughput (instant_network_throughput_bps), frame index and size; among other metrics. python_scripts/ Python scripts used to generate every figure in the paper: Plots_results_section.py — Results_section figures Plots_VMAF_RTT_codec.py — VMAF/RTT/codec figures Plots_Validation_Jitter_capacity_realtestbed.py — Real-testbed validation figures csv_framesizes/ Per-frame encoded video frame-size distributions for the video sample used throughout the paper, swept across codec (HEVC, AV1), bitrate (5–100 Mbps), and frame rate (60/90/120 FPS), with and without VBV limiting and intra-refresh (intra-refresh sweep available for HEVC only). Validation_matlab/ Cross-validation of the Rust simulation core against an independent MATLAB implementation: Rust_simulation_results.zip and Matlab_simulation_results.mat contain the two simulators' outputs for equivalent scenarios plot_validation_code.py reproduces the comparison figure parall_STR_simulation_toolbox.m generates the data using the Matlab toolbox implementation. Has dependency on custom generator networkTrafficPoisson.m to be placed at .../MATLAB/Examples/R2025b/wlan/WLANMultiLinkOperationSystemSimulationExample/; also requires the WLAN toolbox and other wireless toolbox dependencies from r2025b involved in the script. VMAF_RTT_codec_data.zip Data comparing encoded video frame size, VMAF quality, and resulting round-trip time (RTT) under ideal network conditions, across codecs and encoding settings. Validation_Jitter_capacity_realtestbed_data.zip Data comparing jitter and capacity metrics between a real hardware testbed (using a network emulator) and SiEStA-VR simulation traces for an equivalent scenario, validating the simulator against real deployment behavior.