Channel characterization for indoor wireless communications at 21.6 GHz and 37.2 GHz
Bibliographic record
Abstract
This paper presents results of narrowband and wideband measurements of the indoor wireless channel at 21.6 GHz and 37.2 GHz. Narrowband measurements with antenna diversity were carried out using a modified Spectrum Analyzer operating as a two channel receiver. With this arrangement, two different environments were considered and in each between 10 and 20 measurements were taken. Average cumulative distribution functions are computed and distance-power law exponents are estimated. Wideband characterization involved a Vector Network Analyzer which collects frequency-domain measurements of the channel transfer function H(f) at 21.5 GHz. The duration of each of these measurements was 100 msec during which there was no motion or movement of people in the environment. This ensures that the channel remains static. The impulse response of the channel is then calculated using Inverse Fourier Transformation. From the above measurements, average and worst case statistics can be derived and used to evaluate radio coverage for various systems configurations. Such configurations include line-of-sight and obstructed measurements within environments such as rooms and hallways. Values for the delay spread are also calculated which will permit evaluation of maximum transmitted symbol rates for intersymbol interference-free indoor radio communication.
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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 | 0.001 | 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) | 0.001 | 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".