Ultra low-power MEMS based radios for the IoT
Bibliographic record
Abstract
The start-up phase of the radios is responsible for the major energy drain in duty cycled Internet of Things (IoT) nodes. The main source of this energy drain is the long start-up of the loop based frequency synthesizer; especially the crystal oscillator (XO) frequency reference. In order to greatly reduce this energy drain, this paper presents radios based on micromachined Bulk Acoustic Wave (BAW) resonators that have the capability to start in few μs as opposed to ≈ 1 ms start-up of the traditional XO. In addition, these resonators also have a high Quality factor (Q). This results in the oscillators employing these resonators having excellent phase noise, thereby aiding the development of loop-free frequency synthesizers. The high-Q has also been leveraged to make a very good high frequency filter that has been employed in the sub-sampling receiver presented in this paper.
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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".