Spectrum sensing cognitive‐wave‐radio for interference identification in wireless communications
Bibliographic record
Abstract
Abstract Physical layer of cognitive‐wave‐radio receiver is investigated to identify interference signals, by spectrum sensing, in the presence of received QPSK data at 20 Mbps. The investigated cognitive‐wave‐radio receiver structure is based on existing wave radio physical layer (six‐port receiver interferometer) adapted for the receiver data active cancellation. For active cancellation of the received digital data, four outputs of the standard wave radio receiver are used in conjunction with three “single pole double throw” switches providing a single output of the “zero state time interval” for spectrum sensing of the interference signal. Two interference signals were tested: a 7‐dBm amplitude modulated interference and a wide band white noise with 0.01 mW/MHz. The microwave carrier of the QPSK signal is set at an amplitude of 16 dBm and a carrier frequency of 3.5 GHz. Once the interference signal spectrum is identified, the QPSK data are transmitted through the available channel. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:195–200, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.25670
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".