Signal Alignment in MIMO Y Channels with Two-way Relaying and Unicast Traffic Patterns
Bibliographic record
Abstract
In this paper, we study a network information flow problem for a multiple-input-multiple-output (MIMO) wireless network with three users where (i) two users equipped with the same number of antennas exchange independent messages via the relay and (ii) one user transmits and receives data from the relay. This is a specialized version of the MIMO Y channel where, in the multiple access phase, three users send all messages simultaneously to the relay, and, in the broadcast phase, the relay transmits messages to users also on a single MIMO channel access. Specifically, in the proposed signal alignment (SA) schemes, we design precoding and nulling vectors to improve the bit error rate (BER) performance. In addition to SA constraints, we introduce the orthogonality requirements between spatial signaling dimensions or utilize degrees of freedom in selecting precoding vectors to maximize distances between signaling points representing network coded messages and unicast data.
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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".