Handover oscillation reduction in ultra-dense heterogeneous cellular networks using enhanced handover approach
Why this work is in the frame
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Bibliographic record
Abstract
Ultra-dense heterogeneous networks (UDHetNets) are considered a promising architecture to achieve the goal of the next generation wireless cellular networks. However, in these dense networks, the number of handovers and handover oscillations can increase significantly. The enhanced handover for low and moderate speed UEs (EHoLM) algorithm presented here minimizes the number of handovers in the HetNets. We analyzed the handover oscillation and the performance of EHoLM in UDHetNets. The simulation results show that the EHoLM scheme also reduces the number of handovers and handover oscillations in the UDHetNets. The reduction of the number of handovers and the handover oscillations improve the user experience as well as the network performance. Moreover, we also present how we modeled and simulated the handover oscillation and EHoLM scheme in the UDHetNets using discrete-event system specification (DEVS).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it