WiFi-FRL Dataset (v1.0)
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资源简介：
This dataset contains simulation outputs for the WiFi-FRL study evaluating Fixed, Random, Reinforcement Learning (RL), and Federated Reinforcement Learning (FRL) multi-link (and multi-channel) activation policies in dense multi-AP Wi-Fi networks. Each subfolder includes accumulated (acc*) and temporal/CDF (cdf*) rate matrices across network densities (APs ∈ {2,4,8,12,16}), multiple realizations (MAX_SIM), and iterations (MAX_ITER), matching the experiment configuration in the associated Python simulator availabe at the Github repository (https://github.com/wirelessATwest/WiFi-FRL). See README for file naming and reproduction steps.
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Zenodo创建时间：
2025-11-07
