Performance analysis of rate adaptation scheme for data traffic in DS-CDMA systems
Bibliographic record
Abstract
A rate adaptation scheme for data traffic in direct-sequence code-division multiple-access (DS-CDMA) system is studied. With the scheme, the received power of each active data user is maintained constant by using transmission power control to compensate for channel fading and path loss, while the transmission rate is dynamically adjusted to guarantee a target bit energy-to-equivalent noise spectral density (E/sub b//N/sub e/) when interference varies. A continuous-time Markov chain (CTMC) with state-dependent parameter is used to model the user activities in the system. Analysis and simulation results show that the rate adaptation scheme outperforms the conventional SIR based power control scheme, in terms of a power gain and lower average delay for the data users to achieve the same throughput. Moreover, by applying back-off access control, the performance of the rate adaptation scheme can be further improved.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".