Analysis of heterogeneous cellular network with hexagonal tessellated macrocells and randomly positioned small cells
Bibliographic record
Abstract
An analytical approach is developed to evaluate the performance of a hybrid base station (BS) location model which considers the location regularity of macro BSs and topological randomness of small BSs, where the coverage probability and spectral efficiency are derived and verified by simulation. When both tiers have the same BS intensity, the tier of tessellated macro BSs achieves a 50% advantage in spectral efficiency and the tier of underlaid randomly positioned small BSs exhibits a 30% improvement, over that of a 2-tier pure random model where both tiers are modeled by Poisson point processes. With the increasing small BSs to macro BS intensity, the spectral efficiency gain of the hybrid model over that of the pure random model decreases and even becomes marginal, thus providing a design guideline on the small BSs to macro BS intensity ratio to achieve a desired coverage probability and spectral efficiency in HCNs.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".