Secrecy Performance in Dual-Hop EH-NOMA Networks with Transmit Antenna Selection and Generalized Selection Combining
Bibliographic record
Abstract
In this study, the secrecy outage probability (SOP) of a dual-hop energy harvesting (EH) non-orthogonal multiple access (NOMA) system is investigated. In order to improve the signal quality at the transmitter node, the transmitter antenna selection (TAS) method is applied, while the generalized selection combining (GSC) technique is used to increase the reliability at the users and maximum ratio combining (MRC) is utilized at eavesdropper (EVE). In the system, the relay node harvests energy from the signals received from the base station (BS) and transmits messages to the users with the amplify-and-forward (AF) protocol. In the study, the findings for the SOP are presented with Monte Carlo simulations. The study shows that there is a trade-off between harvested energy, data rate and SOP performance, while power allocation factors have an impact on secrecy performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".