Comparison of Expected Performance on B3G Spread Spectrum Mobile Radio Links at 1.9 and 5.8 GHz Based on Propagation Measurements
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Bibliographic record
Abstract
For planning purposes, there is a need for the evaluation of expected performance on mobile radio links in anticipated new frequency bands and comparison of results with 2 GHz band performance estimates evaluated by the same methods. To that end, this paper reports the application of a semi-analytical technique to estimate average binary phase shift keyed direct sequence spread spectrum mobile link error rates at 1.9 and 5.8 GHz from time series of channel response estimates derived from data recorded during propagation experiments with a 5 mchps pseudo-noise channel sounder. This work is unique, as the methods used incorporate the consideration of self interference as well as random channel variations based on direct analysis of the experimentally-determined channel response estimates, rather than simplified models for either the self interference or the channel variations.
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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 | 0.000 | 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