Performance analysis of adaptive rate and power control for data service in DS-CDMA systems
Bibliographic record
Abstract
We consider rate and power adaptations for homogeneous data traffic in the uplink of direct-sequence code-division multiple-access (DS-CDMA) cellular systems, where the transmission power and the transmission rate of each data user are adapted in accordance to the random activities of users and varying data traffic. The performances in terms of data throughput, average packet delay and average power consumption, are analyzed and compared between adaptive rate and power control schemes. In the rate-adaptive system, the received power of each data user is fixed while the transmission rate is dynamically adjusted to maintain a target bit energy-to-equivalent noise spectral density ratio (E/sub b//N/sub e/). On the other hand, in the power-adaptive system, the transmission rate is fixed and the received power is adapted to maintain the target E/sub b//N/sub e/. Analytical results show that the rate-adaptive scheme provides a significant power gain and lower average packet delay over the power-adaptive scheme for the data users to achieve the same throughput.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".