A Multi-Domain Anti-Jamming Defense Scheme in Heterogeneous Wireless Networks
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we investigate the anti-jamming problem in heterogeneous wireless networks. Although there are many studies on the anti-jamming defense problem in both power domain and spectrum domain, these two important aspects were addressed separately. In this paper, to cope with the jamming attacks flexibly, we study the anti-jamming defense problem from a multi-domain perspective, which includes both power domain and spectrum domain, and a multi-domain anti-jamming scheme (MDAS) is proposed. To be more specific, a Stackelberg power game is formulated in the power domain to fight against the jamming attacks, and a multi-armed bandit-based channel selection with a channel switching cost and unknown channel availability state information is formulated in the spectrum domain. Besides, we analyze the performance of the formulated Stackelberg power game and derive the optimal power strategy and utility of a legitimate user. In addition, it is proved that the proposed anti-jamming scheme has a logarithmic regret. Finally, extensive simulations are conducted to validate the performance of the proposed MDAS.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 it