Achieving the degrees of freedom for the two-cell MIMO interfering broadcast channels with limited feedback
Bibliographic record
Abstract
We consider the two-cell MIMO interfering broadcast channel (IBC) with K users assigned to each base station, and we develop two closely-related Interference Alignment schemes that are well suited to a limited feedback implementation. The schemes are developed for BSs with K + 1 antennas and receivers with K or K + 1 antennas, respectively. The schemes achieve the maximum degrees of freedom (DoF), 2K, and are shown to have a smaller power offset than some competing schemes. We provide SNR scaling laws for the number of feedback bits that our scheme require to maintain the optimal DoF. Our analysis suggests that there are tradeoffs between the feedback requirements, spatial dimensions and user cooperation. In particular, having one more antenna at each user can greatly reduce the number of feedback bits. Interestingly, the same reduction can be realized without additional receive antennas if direct user cooperation is allowed.
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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".