Bibliographic record
Abstract
In this paper, we investigate the downlink performance of DS-CDMA using QPSK modulation and 4-phase spreading sequence in a fading satellite channel. Two different types of spreading sequences will be evaluated. One type of sequence construction will be to use two binary sequences; one for the in-phase channel and the other for the quadrature channel. The binary sequences will be binary Gold sequences. The other type of sequence will utilize sequences from GF(4) which have near optimum correlation properties. The 4-phase sequences have been shown to increase the number of users of a multiple access system by 50% in a Gaussian environment. We investigate the performance of the above sequences in a non-geostationary satellite channel. This channel model for non-geostationary satellites is characterized by Rician fading and lognormal shadowing where the fading/shadowing characteristics depend on the elevation angle of the satellite. The upper bound on the symbol error rate (SER) is derived and is computed for both a LEO and MEO system.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".