A Hybrid Artificial Intelligence Framework for Reliable and Seamless Vertical Handover in Next-Generation Heterogeneous Networks
A Hybrid deep double-Q networks (DDQN)–bidirectional long short-term memory (Bi-LSTM) Framework that integrates bi-directional mobility prediction and DRL-based adaptive decision-making is introduced that highlights the effectiveness of integrating predictive intelligence with reinforcement learning for reliable mobility management in 5G-Advanced and emerging 6G networks.
S. Kunarak
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