Performance analysis of cooperative networks with optimum combining and Co-channel interference
Bibliographic record
Abstract
This paper analyzes the performance of optimum combining (OC) cooperative interference-limited systems in the presence of co-channel interference (CCI). In particular, we investigate a dual-hop decode-and-forward relaying system comprising a pair of source-destination, multiple relays and multiple interferers affecting the relays as well as the destination. Under this scenario, we first derive the probability density function (PDF) and the cumulative distribution function (CDF) of the signal-to-interference ratio (SIR) at the destination. Based on the results of the CDF and PDF, closed-form expressions for the outage probability and average error probability are derived over Rayleigh fading channels. To investigate the impact of the CCI on the system performance, an asymptotic average error expression is derived to get insights on the diversity and coding gains. Numerical and simulation results are presented to validate our analysis. Results demonstrate that the interference-limited systems achieve the diversity gain of the relaying system.
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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 | 0.001 |
| 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".