Fresco uses LSTM-based risk forecasting to proactively select and prepare successor UAVs, cutting service interruptions in UAV edge networks versus reactive baselines.
Towards smart 6g: Mobility prediction for dynamic edge services migration,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Forecasting-Driven Stable Successor Matching for UAV-Assisted Continuous Edge Services
Fresco uses LSTM-based risk forecasting to proactively select and prepare successor UAVs, cutting service interruptions in UAV edge networks versus reactive baselines.