Transmission Loss between Buildings in the e-Um5G 4.7 GHz Band: Measurements and Analysis
Bibliographic record
Abstract
A demand-based deployment strategy has been recently proposed for e-Um5G in the industrial market. This study measured the transmission loss between buildings at a frequency of 4.7 GHz to initiate small cell deployment in certain areas. A local average apparatus was utilized to remove fading effects, and data were acquired at discrete points one or two meters apart. The transmission losses for buildings 39 m and 95 m from the transmitter were 56.6 dB and 69.1 dB, respectively, excluding free-space loss. The transmission loss was found to be sensitive to building structure and transmitter location, as the loss for a building 39 m away decreased to 49.5 dB when the transmitter was moved closer to the building entrance. The measured results were analyzed in terms of the ITU-R SG3 (International Telecommunication Union-Radiocommunication Sector, Study Group 3) definition of building entry loss and can be used for frequency sharing and building-level small cell deployment in the e-Um5G frequency band.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".