Channel characterization for indoor wireless communications at 21.6 GHz and 37.2 GHz
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 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 it