Design and Comparison of Fully Integrated mm-Wave GaAs Power Amplifiers Using Physics-Based Compact Model
Bibliographic record
Abstract
Millimeter-wave (mm-Wave) power amplifiers (PAs) are designed using a physics-based compact model and fabricated in$0.15 \mu \mathrm{m}$GaAs pHEMT technology. The model is calibrated to match transistor-level I-V, C-V, and S-parameter characteristics and is shown to accurately predict the measured large signal circuit-level performance of the PA without further parameter adjustment. The PA consists of combined class-AB and class-C devices with a single-cascode configuration and is compared to a double-cascode configuration by analyzing nonlinear behavior of input capacitances. It performs 19.6 dBm OP1dB, 29.7 dBm OIP3, and 39.8% PAE at 5V supply. Measured error vector magnitude (EVM) is −30.5 dB at 10.1 dBm with 100 MHz bandwidth 256-QAM OFDM modulated signals at 24 GHz. The die size is only 0.3 mm2excluding RF pads area, and the PA shows competitive performance at mm-Wave frequencies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".