Cooperative jamming‐based physical‐layer security of cooperative cognitive radio networks: system model and enabling techniques
Bibliographic record
Abstract
The aim of this work is to improve the secrecy capacity of primary users (PUs), meanwhile, spectrum utilisation and energy efficiency are considered. the authors present a communication system model with secondary users (SUs). The SUs are provided access to the spectrum. Also, by means of beamforming, their signals will not interfere the PUs but eavesdropper, and the PUs' transmissions are protected. By leveraging the SUs instead of traditional jamming nodes can also make the energy efficiency higher. They formulate the system model, signalling plan, and key enabling techniques to enhance the spectrum efficiency and PUs' physical‐layer security with SUs' participation. They provide theoretic analysis of a sum capacity maximisation under a certain power constraint to evaluate the performance of this system. Numerical results show that the proposed scheme not only improves PU's secrecy capacity but also enhances the spectrum utilisation.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".