Opportunistic Cooperative Communication in the Presence of Co-Channel Interferences and Outdated Channel Information
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the impacts of co-channel interference and outdated channel state information (CSI), two main issues in practical operating environment, on the performance of opportunistic decode-and-forward cooperative networks. First, the distribution function of the effective signal-to-interference-plus-noise ratio at the end receiver is derived. Then, exact closed-form expressions for the error and outage probabilities are obtained. Furthermore, simple asymptotic expressions for the error probability, which explicitly show the coding and the diversity gains, are derived and discussed. In particular, it is demonstrated that the diversity order of the system is reduced to unity when CSI is outdated, and to zero when the ratio of the interference energy to the signal energy is constant.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.001 |
| 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 it