Virtual Small Cells Formation in 5G Networks
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
A novel virtual small cells formation approach for the fifth-generation mobile network is proposed in which a subset of qualified users is selected to serve as the base stations of virtual small cells in connecting other users to the macrocell base stations. In the proposed approach, the optimum virtual small cell density is obtained, so that the number of required communication links to the macrocell base stations for connecting all users directly or through small cells is minimized. It is shown that by using the proposed virtual small cell technique, the number of connections to the macrocell base stations becomes proportional to the logarithm of the user density. Since this relationship is linear in conventional cellular networks, utilization of virtual small cells can significantly increase the overall network capacity. In addition, the optimum virtual small cell density is derived for cases where the communications costs for a user-to-macrocell direct link and a small cell-to-macrocell trunk link are not the same.
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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