Federated Multimodal Bi-LSTM for Agentic Handover in 6G Heterogeneous Networks

Keyphrases

• Handover 100%
• Heterogeneous Networks 100%
• Bidirectional Long Short-Term Memory (BiLSTM) 100%
• Agentic 100%
• User Equipment 66%
• Ping-pong 66%
• Selection Strategy 33%
• Multi-task 33%
• Radio 33%
• Controller 33%
• Prediction Method 33%
• Federated Learning 33%
• Data Privacy 33%
• Cell Signaling 33%
• User Experience 33%
• Metric Thresholds 33%
• Highly Dynamic 33%
• Adaptive Adjustment 33%
• 3rd Generation Partnership Project (3GPP) 33%
• Sequence Prediction 33%
• Relative Reduction 33%
• Base Station Selection 33%
• Multi-cell 33%
• Similarity-based 33%
• Time-triggered 33%
• Dynamic Time 33%
• Cosine Similarity 33%
• Intelligent Agents 33%
• Handover Mechanism 33%
• Threshold Parameter 33%
• Dynamic Deployment 33%
• Handover Strategy 33%
• Unnecessary Handover 33%
• Signal Indicators 33%
• Single Metric 33%
• Handover Failure 33%
• Edge Deployment 33%
• Static Parameters 33%
• HetNets 33%

Computer Science

• Heterogeneous Network 100%
• Bidirectional Long Short-Term Memory Network 100%
• 6G 100%
• Selection Strategy 33%
• Data Privacy 33%
• Memory Model 33%
• User Experience 33%
• Cosine Similarity 33%
• Intelligent Agent 33%
• Federated machine learning 33%
• Probability 33%