Rate Aadaptation Algorithm (RAA) Performance Simulation Results Dataset

The dataset accompanies the study titled “Rate Adaptation Algorithms in WLANs: A Comparative Analysis of Iwl-Mvm-Rs and Minstrel-HT Under Different Frame Error Causes.” This dataset contains simulation results that evaluate the performance of the Iwl-Mvm-Rs and Minstrel-HT Rate Adaptation Algorithms (RAAs) under varying frame error conditions, specifically low Signal-to-Noise Ratio (SNR) and collision-induced errors.The data was generated using ns-3 simulations across four scenarios:Low SNR caused by path lossLow SNR due to multipath fadingCollision-induced errors in high-density networksA mixed scenario with both low SNR and collision conditions.Each scenario includes metrics such as throughput, frame error rate (FER), line rate selection, and response times, which facilitate a comprehensive comparison of the adaptability and efficiency of both algorithms under different frame error causes. This dataset provides valuable insights into how RAAs can be optimized for performance in modern high-density WLAN environments.