Narrow Band Digital Filtering Approach for CR-IoT Node with Carrier Aggregation Using Zero/Pole Placement
Bibliographic record
Abstract
Using zero/pole design method, the proposed narrow band (NB) infinite impulse response band-pass filter (IIR-BPF) can be designed for coarse narrow spectrum sensing (NSS) algorithms with carrier aggregation (CA) capability to be employed in cognitive radio internet-of-things (CR-IoT) nodes. This IIR-BPF can extract the targeted physical radio resource blocks (PRBs) in the wide orthogonal frequency division multiplexing (OFDM) aggregated bandwidth prior of performing the sensing process. The practical frequency response characteristics of the filter are addressed. The use of the suggested digital filter with energy detector (ED) shows sensing performance enhancement presented by probability or error reduction under noise power uncertainty and low signal-to-noise ratio (SNR). For instance, at SNR=-13 dB and for the same sample complexity (N=100), the probability of error is reduced from 0.67 to 0.48 using the proposed solution.
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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 | 0.001 | 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".