Enhancing the performance of W-CDMA downlink in mobile satellite systems for Web traffic
Bibliographic record
Abstract
In this paper, we attempt to enhance the performance of W-CDMA downlink for third generation (3G) land mobile satellite communication systems for Web traffic. It has been shown that Web traffic requires very low bit error rate (BER) in order to avoid severe degradation in its throughput over satellite links. In Hijres et al. (1999), it has been shown that power control errors can seriously degrade the performance of the downlink in W-CDMA mobile satellite systems. Hence, we focus on the combined effect of using the radio link protocol (RLP) and macrodiversity (space diversity) to improve the performance of turbo coded downlink under power control errors for Web traffic. The macrodiversity is employed at the mobile Web terminal rather than at the satellite, due to satellite space limitation. Simulation results demonstrate that the combined effect of using RLP and macrodiversity is essential in reducing the frame error rate to a very low level in order to support Web traffic over W-CDMA mobile satellite links. This very low frame error rate has been achieved at very low Eb/No, e.g. FER /spl ap/10/sup -5/ has been achieved at Eb/No=1 dB for downlink which suffers from large power control error with standard deviation (/spl sigma//sub s/) of 4 dB. It is extremely important to operate downlinks of mobile satellites at very low Eb/No in order to preserve satellite capacity, as mobile satellites are power limited.
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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 | 0.002 | 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".