A 3.5 to 7 GHz Wideband Differential LNA with g<sub>m</sub> Enhancement for 5G Applications
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Bibliographic record
Abstract
This paper presents a differential wideband low noise amplifier (LNA) targeting 5G applications in 130 nm TSMC CMOS technology. The proposed LNA is based on the capacitive cross-coupled common-gate (CCC-CG) push-pull architecture. The LNA utilizes inductors for wideband input matching that resonate with the input parasitic capacitors. The CCC-CG structure along with a current-reuse PMOS and NMOS technique enhances transconductance, reducing noise figure (NF) and increasing voltage gain. Post-layout simulation results show that the differential LNA achieves a gain of 21 ±1.5 dB, NF of less than 4 dB and IIP3 of higher than -2.5 dBm over the bandwidth of 3.5 to 7 GHz. The LNA consumes 2.4 mA from 1 V supply, and occupies an active area of 0.24 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .
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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) | 0.000 | 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 it