Deflecting-Obstacle Effects on Signal Propagation in the 60 GHz Band
Bibliographic record
Abstract
This paper reports the non-line-of-sight (NLOS) results of broadband measurements and modeling of signal propagation characteristics in the 60 GHz band. The purpose of this work was to evaluate the importance of the presence of deflecting obstacles (DOs) for indoor wireless local area network (WLAN) applications in the unlicensed 60 GHz band. Based on sweeping-frequency sounding technique (59.6-60.6 GHz), an indoor propagation measurement campaign was carried out in a typical T-shaped intersection of two long corridors under non-line-of-sight (NLOS) at a distance of 20 meters between transmit and receive antennas, with and without the presence of DOs. Based on Ray-Tracing (RT) technique, deterministic models are derived for the considered environment. An interesting agreement is achieved between the predicted and the experimental results in both frequency and time domains. Thus, this work demonstrates that mm-waves communications are very sensitive to the propagation environment as compared with lower frequency bands. In NLOS corridor environments, the signal transmission relies mainly on the unavoidable diffraction phenomenon from the intersection corners. However, the presence of a DO might overcome significantly the hostile propagation characteristics that are normally encountered under NLOS propagation conditions.
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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) | 0.000 | 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 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".