Empirical Modeling of UHF Wireless Channel in HPHT SFNs: Based on Seoul Metropolitan Case
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Bibliographic record
Abstract
This paper proposes realistic channel models to describe the fading effects in high-power high-tower (HPHT) single-frequency network (SFN) environments. The proposed models empirically characterize the ultra-high frequency wireless channels based on field data obtained from an operational SFN in a metropolitan area. To this end, large-scale channel sounding experiments are conducted by leveraging on-air transmitter identification signals. The unique features of HPHT SFN transmission are identified and reflected in the tapped delay line parameter definitions. Dedicated models are built for stationary and mobile environments so that they could relevantly assist network planning, system implementation, and performance test in the industry. Free MATLAB source code of the fading simulator is available at https://github.com/ETRI-KMOU/FadingChannelSimulator.
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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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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