Performance analysis of the cdma2000 reverse packet data channel
Why this work is in the frame
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Bibliographic record
Abstract
As wireless data networks are becoming an essential element in our daily life, service providers are struggling to fulfill the high data rate requirements to support wireless data applications. cdma2000 1xEV-DV, developed by the third generation partnership project 2 (3GPP2), is one of the latest standards promising to fulfill the high data rate requirements of the third generation wireless technologies. In this paper, the performance of cdma2000 1xEV-DV reverse packet data channel is investigated. In particular, based on the properties of the 1xEV-DV turbo encoder, lower bounds on the probabilities of data sub-packets acceptance are derived. Using these probabilities, expressions for the expected file transmission time and effective data rate are obtained for both the error-free and noisy acknowledgement channels.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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