A 42–46.4% PAE continuous class-F power amplifier with C<inf>gd</inf> neutralization at 26–34 GHz in 65 nm CMOS for 5G applications
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Bibliographic record
Abstract
This paper presents a wideband high efficiency continuous class-F (CCF) power amplifier (PA) at mm-Wave frequencies for the first time. A tuned load with a high-order harmonic resonance network is used to shape the current and voltage waveforms for the proposed CCF CMOS PA. Further, a transformer with a tunable coupling-coefficient (k <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">tune</sub> ) is incorporated in the tuned load network to address the detrimental feedback effect caused by the increased transistor gate-drain capacitance (C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">gd</sub> ) in deep submicron CMOS technology. This technique allows precise neutralization of C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">gd</sub> , reducing undesirable influence on the tuned load, and maximizing power-efficiency and stability. The CCF PA prototype, implemented in 65 nm CMOS exhibits more than 42% power added efficiency (PAE) over 8 GHz bandwidth (26-34 GHz), while delivering saturated output power (P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">sat</sub> ) of 14.75 dBm at 30 GHz. This design presents one of the highest reported PAEs among mm-Wave CMOS PAs, achieving 46.4% peak PAE at 29 GHz.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it