Investigations on the effects of co-channel interference on dual-hop transmission in Nakagami-m fading
Bibliographic record
Abstract
The performance of dual-hop transmission system operating over independent and non-identical Nakagami-m fading channels in the presence of co-channel interference is studied. Exact and upper-bound expressions for the signal-to-interference-plus-noise-ratio (SINR) at the destination are formulated. Then, the cumulative distribution function (CDF) and probability density function (PDF) of the upper bounded SINR are determined. Furthermore, closed-form expressions for the error and outage probabilities are obtained and discussed. Moreover, an approximate PDF of the dual-hop link's instantaneous SINR is derived. Based on said PDF, simple, yet general, asymptotic expressions for the error and outage probabilities are presented and discussed. Numerical and simulation results are provided to verify the tightness of the presented analysis.
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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".