A Distributed SIR-Based Power Control Algorithm for WCDMA Systems
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Bibliographic record
Abstract
Power control has been an important issue in multiple access systems allowing more users to share the system resources. The capacity of the WCDMA system is limited by the total interference, called multiple access interference (MAI). An efficient power control algorithm is always required to improve the system performance. In this paper, we propose a distributed, first order power control algorithm. The proposed algorithm uses an exponential function with a modified form of the LMS algorithm in order to achieve a better speed of convergence. We examine the proposed algorithm for time varying multipath Rayleigh fading environment. We compare the performance of the proposed algorithm and the 3GPP standard algorithm. We demonstrate that the proposed algorithm achieves better convergence and saves on the signal-to-noise ratio (SNR) required to achieve a certain performance. We also demonstrate that the proposed algorithm works well for different mobile speeds with a continuously changing channel.
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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 | 0.000 | 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 | 0.003 | 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