Integrated power control with concatenated coding for DS-CDMA systems
Bibliographic record
Abstract
In this paper, highly reliable data transmission using concatenated Reed-Solomon (RS) /convolutional coding for a direct-sequence code division multiple access system is studied. The study is based on the analysis of the tradeoff between coding and spreading, and on the compromise between RS outer code and convolutional inner code under the constraint of a fixed bandwidth expansion for each service class. Some insightful observations about the mechanism of the concatenated coding scheme and their explanations are presented. Numerical results show that a best outer/inner code rate pair exists. By applying this best code rate pair over a slow Rayleigh fading channel, depending on the system load and the constraint length of the inner code, a gain of 2dB to more than 9dB in received power reduction for each user can be achieved, compared to the conventionally used code rate pair (outer/inner code rate = 0.8/0.5).
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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 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".