Per-cell Bayesian optimization of handover parameters beats fixed 3GPP settings in a simulated urban network, while reinforcement learning matches it with transfer learning.
Incorporating mobil ity prediction in handover procedure for frequent-handover mitigation in small-cell networks,
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Data-Driven Cellular Mobility Management via Bayesian Optimization and Reinforcement Learning
Per-cell Bayesian optimization of handover parameters beats fixed 3GPP settings in a simulated urban network, while reinforcement learning matches it with transfer learning.