Millimeter Wave Small Cell Network Planning for Outdoor Line-of-Sight Coverage
Bibliographic record
Abstract
The millimeter wave is considered as an important candidate for providing most of the capacity in a future heterogeneous network. Network densification is also necessary for enhanced capacity and high-rate coverage. However, deploying a very large number of the base stations is costly. We develop an outdoor small cell millimeter wave network planner and minimize the number of base stations.First, we estimate the base station densities required for small cell line-of-sight millimeter wave networks. We develop an automatic outdoor network planner by first, placing many candidates on the map and then, selecting a subset of candidates to minimize the total number of base stations. We run our simulations over two large dense urban areas.Second, we design a wireless backhaul network planner to further reduce the costs by reducing the number of wired connections in the network, where we consider millimeter wave line-of-sight wireless backhauling as our choice.
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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) | 0.001 | 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".