High-Efficiency Wideband Rectifier for Single-Chip Batteryless Active Millimeter-Wave Identification (MMID) Tag in 65-nm Bulk CMOS Technology
Bibliographic record
Abstract
This paper presents the development and demonstration of a high-efficiency rectifier for millimeter-wave-to-dc energy conversion. It is a critical circuit block that renders possible the use of a single CMOS chip die with no substrate and wiring, as the implementation of a batteryless, yet active tag for next-generation high data-rate millimeter-wave identification technologies. We also propose an architecture of a reader-tag system that addresses the underlying technical challenges. The rectifier is based on a differential drive cross-coupled topology that has been shown to work at UHF frequencies only so far. In this paper, we investigate significant challenges in implementing this topology at millimeter-wave frequencies with good power conversion efficiency (PCE). The analyses, design, and results presented in this work demonstrate the feasibility of achieving this by minimizing simultaneously the small on-resistance and the reverse leakage current in the MOS transistors, and by reducing losses and parasitic capacitances through proper transistor sizing and layout optimization. Using a standard 65-nm bulk CMOS process, a chip was designed, fabricated, and tested under different input and output loading conditions. The rectifier exhibits an overall PCE of 20% at 24 GHz, 18% at 35 GHz, and 11% at 60 GHz under RF available driving power of 6, 6, and 3 dBm, respectively, and output load resistance of 1, 1, and 2 kΩ, respectively. These PCE performances at millimeter-wave frequencies have never been reported in the literature.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".