Deep learning-based 5G handover prediction using real drive-test measurements, RSRP time-series forecasting, and LSTM/GRU/TCN models for predictive mobility management.
When is handover history worth remembering? Simulator, experiments and results on the repeatability of handover outcomes in dense 5G networks.
Predictive mobility management in LTE/O-RAN-like ns-3 scenarios with candidate-aware LSTM, MLP baseline, replay and online closed-loop validation.
KTX 고속철도 3GPP NR/LTE 핸드오버 시뮬레이터 — field GPS 궤적으로 A3/A5/B1/B2 HO·RLF·HOF 재현 (statistical + Sionna RT 레이트레이싱)
Simulation code for a risk-aware conditional handover timing policy in 5G NR LEO non-terrestrial networks, using a lower-confidence-bound on predicted remaining usable link time under uncertainty. Evaluated via Monte Carlo simulation against fixed-guard-time, point-prediction, and quality-threshold baselines. Target: ISETC'26.
Tracing a 5G subscriber identity and movement across handovers and AMF reallocations using GUTI reallocation events in an N2 NGAP capture.
ROAM: outcome-based mitigation of unnecessary handovers in dense 5G networks. System-level simulator, decision rules, experiments and results.
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