Uplink Power Allocation Scheme for User-Centric Cell-free Massive MIMO Systems
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Bibliographic record
Abstract
This paper proposes a power allocation scheme that improves the overall spectral efficiency (SE) and fairness performance, and reduces a significant amount of per user transmission power for the user-centric cell-free (CF) massive multiple-input multiple-output (mMIMO) systems during uplink transmission. The proposed power allocation scheme comprises of a new power allocation model based on some adjustable parameters and the large-scale fading coefficients, and an algorithm to adapt these parameters for improving the minimum SE performance among all UEs. One important aspect of the proposed scheme is its simplicity from a design perspective which avoids complex optimization methods. Moreover, the proposed scheme provides fairness performance close to that of the max-min-SE based power control strategy and offers a SE performance comparable to that of the power control scheme that maximizes the sum-SE (max-sum-SE) while reducing the average transmission power simultaneously. Numerical results show that, compared to the max-min-SE scheme, max-sum-SE scheme, and a recent fractional power allocation policy, the proposed power allocation scheme improves the SE performance by up to 64.3% while reducing the average transmission power by up to 89%.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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