Efficient Coordinated Multicell Beamforming with Per-Base-Station Power Constraints
Bibliographic record
Abstract
This paper is concerned with optimal downlink beamforming designs in a coordinated multicell system with per-base-station power constraints. At each cell, a multiple-antenna base-station (BS) employs linear beamforming to send multiple data streams to its remote mobile-stations (MS). With the coordination between the cells, the multiple BSs jointly optimize their beamformers to enhance the overall system performance. Under per-BS power constraints, considered are the two following design criteria: (i) minimizing transmit power with guaranteed signal-to-interference-plus-noise ratio (SINR) at each each MS and (ii) jointly maximizing the minimum SINR margin at the MS. The two optimization problems are reformulated as second-order conic programs (SOCP), and simple and fast converging numerical algorithms to efficiently solve them are proposed.
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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) | 0.001 | 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 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".