Performance Assessment of Cooperative AF-NOMA Networks in Power Line Communication Systems with ISIC
Bibliographic record
Abstract
This study delves into the realm of non-orthogonal Multiple Access (NOMA) Power Line Communication (PLC) networks employing amplify and forward configurations, while considering the incorporation of imperfect Successive Interference Cancellation (ISIC). The focus lies in unveiling a precise closed-form analytical framework for quantifying the outage probability within the NOMA-PLC network, particularly under the influence of ISIC. To counteract the detrimental effects imposed by ISIC on the outage probability of the NOMA-PLC system, this work systematically computes and unveils optimal power allocation factors for NOMA-PLC users. The viability of these analytical findings is corroborated through a series of simulations and numerical analyses, effectively validating the robustness and accuracy of the proposed analytical models.
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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".