Performance of Cooperative Diversity Systems in Non-Gaussian Environments
Bibliographic record
Abstract
Cooperative diversity (CD) systems have received significant attention recently as a distributed means of exploiting the inherent spatial diversity of wireless networks. In this paper, we consider a CD system where a source transmits to a destination via multiple single--hop amplify and forward (AF) relays. In particular, we provide a mathematical framework for the asymptotic analysis of this system in general non--Gaussian noise and interference for high signal--to--noise ratios (SNRs). Assuming independent Rayleigh fading for all links in the network, we obtain simple and elegant closed--form expressions for the asymptotic symbol error rate (SER) and bit error rate (BER) valid for arbitrary linear modulation formats, arbitrary numbers of relays, and arbitrary non--Gaussian noise and interference with finite moments. Furthermore, exploiting the derived analytical results, we introduce a new relay selection criterion for non--Gaussian environments. Simulation results confirm our analysis and illustrate that, in non--Gaussian noise, the proposed relay selection criterion can lead to large performance gains compared to the conventional relay selection criterion which was optimized for Gaussian noise.
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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 | 0.001 |
| 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 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".