Modeling and simulation of user mobility and handover in LTE and beyond mobile networks using DEVS formalism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
User mobility and handover are two important functions in mobile networks that provide seamless connectivity of user when moving from one cell to another cell. Hence, handover and its performance are of high importance to improve the performance of mobile networks. In this study, we present a technical overview of mobility and handover management of 3GPP Long Term Evolution (LTE) and beyond mobile networks. We present an open source simulation model of user mobility and handover that allows investigating the performance of handover process within 3GPP LTE and beyond mobile networks. To model the user mobility and handover process we introduce Discrete EVent System Specification (DEVS) formalism, a flexible formal modeling and simulation methodology. We perform modeling and simulation of typical urban area propagation, with different user speed, cell radius and traffic load per cell for both homogeneous and heterogeneous mobile networks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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