Per-cell Bayesian optimization of handover parameters beats fixed 3GPP settings in a simulated urban network, while reinforcement learning matches it with transfer learning.
What wil l the future of UA V cellular communications be? A flight from 5G to 6 G,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.IT 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.