Robust sensing strategy for dynamic spectrum access in the 2.4 GHz ISM band
Bibliographic record
Abstract
This paper proposes a robust spectrum sensing strategy to identify white-spaces in the unlicensed 2.4GHz ISM band where radio transmission technologies coexist. Implicitly, collocated networks have different levels of spectrum access priority due to their design parameters (e.g., transmission power, modulation and coding), such that a WLAN tends to achieve a higher access priority compared to a coexisting WPAN. Instead of using a predetermined radio channel in the ISM band, a device can perform dynamic spectrum access using a frequency agile radio to take advantage of spectrum holes that are found between transmissions of collocated networks, thus improving its opportunities to access the ISM band for interference-free transmissions. This paper proposes the dual spectrum sensing strategy for capturing spectrum holes that are wide enough to accommodate the transmissions of a device. Our method makes no assumption about the technologies (e.g., modulation schemes or power spectral density) of detected radio transmissions, and properly handles power variations in the form of gradually changing power values as well as sharp rise/fall edges in the detection of occupied parts of the spectrum. Field test results show that ample white-spaces exist to enable frequency-agile IEEE 802.15.4-based devices to access the ISM band opportunistically.
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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 | 0.001 |
| Open science | 0.001 | 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".