Bibliographic record
Abstract
In this paper, we study the transmission of Gaussian signals in a three-node half-duplex bidirectional relaying network, where two users communicate in both directions with the help of one relay, and can transmit at different rates. The relay employs amplify-and-forward (AF) or decode-and-forward (DF) based cooperation protocols. We analyze the distortion exponent that characterizes the high signal-to-noise ratio (SNR) behavior of the end-to-end distortion of the reconstructed signal at each user node. The different rates of the two users necessitate the study of a new concept - the achievable distortion exponent region of the system. We first derive an outer bound on the distortion exponent region of two-way relaying communications, which is tight at large bandwidth ratio. We then obtain the optimal distortion exponent pairs of conventional one-way relaying strategies and AF/DF based two-way relaying protocols with single-rate coding. The results illustrate the effect of the bandwidth ratio and cooperation strategies on the optimal distortion exponents.
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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 | 0.001 | 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".