High frequency low cost CMOS LNA design procedure for the wireless industry
Bibliographic record
Abstract
This paper presents a design procedure used in industry for designing low-power narrowband high-gain CMOS LNAs for wireless applications for frequencies greater than 6 GHz, with considerations for process variations. This paper does not give detailed derivations of equations. Rather, it gives the simulation procedure and methodology that converges quickly to a practical optimized solution for LNA designs mostly used in mobile communication industry for mass-production, requiring minimal time and resources from the designer. It takes a wholistic design approach where all factors, including manufacturing costs, technology choice and applications are considered. It explains how to design the appropriate topology from the ldquogrounds uprdquo approach, and then giving the designer the option to match the ports or not, depending on if it is appropriate. This method yields these LNA parameters at 6.5 GHz: S21=18 dB, NFmin=3.22 dB, NF=6.1 dB and S22,<-15 dB with only 6.4 mW (plus 2.5 mW for narrowband output match) power consumption over 1.2 V supply.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".