Secrecy Outage Probability of SWIPT-OFDMA Schemes with Transmit Antenna Selection
Bibliographic record
Abstract
This study examines the wireless communications secrecy performance of multi-user (MU) simultaneous wireless information and power transfer (SWIPT) scheme employing transmit antenna selection (TAS) and maximal-ratio combining (MRC). In order to address the user scheduling requirement of MU-SWIPT scheme, orthogonal frequency-division multiple access (OFDMA) has been utilized, and the secrecy outage probability (SOP) performance is examined via simulations. In the study, it is aimed to examine a realistic scenario where eavesdropper might detect the sub-carrier indices of the legitimate users. In addition, the variation of the SOP performance has been revealed for different values of the number of legitimate users, the number of eavesdropper antennas, the power division factor related to the SWIPT process and the noise variance introduced by the information decoder.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| 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".