Power Control for Massive Multiuser MIMO Systems With Finite-Dimensional Channel
Bibliographic record
Abstract
This paper considers a power control problem for multiuser massive multiple-input multiple-output systems, where a base station with a massive number of antennas simultaneously receives data signals from the various users. A physical channel model is studied in this paper, where the angular domain is divided into a finite number of distinct directions. It is assumed that the perfect channel-state information is available at the base station and each user has the knowledge of only the geometric attenuation and shadow fading of the channel-state information. The lower capacity bound of uplink channel for zero-forcing detector is derived. According to the geometric attenuation and shadow fading of each user's channel, the power among the users is controlled in such a way that the spectral efficiency is maximized and the minimum energy per bit is achieved in the cell. It is shown that the proposed power control method outperforms the existing works addressed in the literature.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".