Performance of selection combining in cooperative relaying networks over Rayleigh fading channel
Bibliographic record
Abstract
This paper studies the end-to-end performance of cooperative diversity networks equipped with amplify-and-forward (non-regenerative) relays and a selection combining receiver over independent non-identical Rayleigh fading channels. Closed-form expressions for the cumulative distribution function (CDF), the probability density function (PDF) and the moment generating function (MGF) of the end-to-end signal-to-noise ratio (SNR) are derived. Also, closed-form expressions for the outage probability are determined for two cases (channel-state-information-based-gain and fixed-gain relaying). In this paper the error performance is analyzed using the moment generating function. A closed-form expression for the error probability for binary differential phase shift keying is obtained. Furthermore, average SNR, the moments, and amount of fading were obtained by using the MGF.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".