Analysis of mm-Wave Wireless Networks Using Cylindrical Receiver Grids in Street Canyon Urban Areas
Bibliographic record
Abstract
The deployment of millimeter-wave (mm-Wave) frequencies in urban wireless networks offers a promising solution to meet escalating data demands. However, challenges such as severe signal attenuation, multipath propagation, and signal strength fluctuations complicate mm-Wave technology implementation in urban street canyons. While effective at lower frequencies, traditional planar receiver grids fail to address these issues due to limited dimensional coverage and sensitivity to urban dynamics. This analysis advocates cylindrical receiver grids as an innovative technique to enhance mm-Wave network analysis in environments. Cylindrical grids offer a three-dimensional signal capture, which is essential for understanding the complex propagation behaviors within urban canyons. The results show that cylindrical grids capture more detail on how millimeter radio waves interact with their environment and detect a broader range of path rays, indicating comprehensive signal detection in both horizontal and vertical planes.
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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 | 0.001 | 0.001 |
| 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".