Sensing UHF-TV Spectrum for Narrowband Cognitive Radios in a Malicious Presence
Bibliographic record
Abstract
In this paper, we propose a robust spectrum sensing (SS) technique for cognitive radio receivers (CRRs) when a malicious CR user (MCRU) coexists in the network. The primary users (PUs) that we consider are the television (TV) broadcasters, who operate in an ultrahigh-frequency (UHF) band. Using multiple antennas of CRR, as a first step, we locate a narrower subband-within an UHF-TV range-at which the interference due to MCRU is least. Then, SS is implemented only at the chosen band, so that the detection of PU is not affected by the presence of MCRU. The finding of the apt band for SS is implemented through a table, which needs to know only the angle of arrival of signal from MCRU. We have shown the technique to estimate this angle of arrival as well. The simulation results show that the proposed method does not compromise the detection performance, unlike the energy detection scheme, which compromises severely when MCRU coexists.
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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 | 0.000 |
| 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".