Impulse response measurements in the UHF and SHF bands for outdoor microcellular quasi-static environments
Bibliographic record
Abstract
Wideband propagation measurements were performed in the 1.427-1.457, 6.685-6.715, 14.705-14.735 and 22-22.025 GHz bands in order to explore design alternatives for point-to-multipoint high rate data transmission systems. The measurements were carried out in metropolitan and suburban areas with both the transmitter and receiver stationary. The transmitter was located outside on the rooftop of a high rise building and the receiver inside another building. The receiver was then moved for each new set of measurements such that a whole room was covered in a grid-like fashion. The results show how the propagation environment (line-of-sight/non-line-of-sight, urban/suburban), the transmit/receive antenna patterns and the carrier frequency can have a significant impact on the RMS delay spread and path number statistics. Such information is particularly relevant to determine the appropriate RF and baseband processing strategies required to exploit multipath diversity in order to mitigate the large narrowband propagation losses at high frequencies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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".