Ai-Enhanced Seamless Handover in Wi-Fi Networks With Multi-Link Management

Elena Ferrari, Dave A Cavalcanti, Valerio Frascolla, Rafael Rosales · 2025

This work presents an innovative Multi-Parameter Artificial Intelligence (AI)-based decision algorithm, designed to optimize handovers in Wi-Fi networks supporting Multi-Link Operation (MLO). The algorithm leverages a combination of Neural Networks (NN), integrating a Long Short-Term Memory (LSTM) NN with a Classification NN. The former predicts key performance indicators, which are then used by the latter to determine the optimal connection between a Wi-Fi Station and available Access Points. Our approach, compared to traditional distance-based handovers, effectively improves connectivity in more complex and realistic curvilinear trajectories, especially in scenarios with interference.

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