… Using supervised machine learning techniques, it is possible … Finally, we demonstrate
the usefulness of this “learning by … our method to learn black box performance models. We …

… Wi-Fi performance with machine learning, we started with a systematic literature review
methodology [15]. First, we searched for Wi-Fi, 802.11, and WLAN as well as machine learning in …

… a learning agent interacts with a D-MIMO Wi-Fi … Wi-Fi networks, this paper demonstrates
the efficacy of DRL agents in achieving an improvement of 20% in user throughput performance …

… a holistic RA solution, designated as Machine Learningbased RA (MLRA), which is not only
… learning to automatically identify the correlations among the rate, goodput performance and …

… This thesis examines different ways to improve the performance of Wi-Fi networks. It focuses…
reinforcement learning models bring a significant improvement in Wi-Fi network performance…

… Many scholars argue that Wi-Fi technology greatly helps students in learning services
provided within the campus [4,1,11,3]. For instance, studies suggest that students get a lot of …

… learning (ML) techniques and evaluating their accuracy and efficiency to predict the
transmission throughput in Wi-Fi … In this section we further compare performance of the proposed …

… Then, we conducted a loss function to evaluate the performance of our deep learning model
… performance indices. With our deep learningbased BEB scheme, the system performance of …

… In this section, we develop the analytical model to evaluate the performance of LTE-LAA and
Wi-Fi nodes. Specifically, we consider that Nl LTE-LAA nodes (can be either base station or …

… To test the transfer learning performance over different devices, we remain the source data
… A similar comparison of performance as above is shown in Fig.4(b). As the source data and …