GaN MMIC Differential Multi-function Chip for Ka-Band Applications
Bibliographic record
Abstract
High data rate communications have become possible due to improvements in microelectronics, and is based on new topological concepts of architecture. The development of 5G networks using the Ka-band is one of the challenges for new telecommunication systems based on individually controlled active antennas (AESE). The control system is usually developed using silicon processes but this approach does not allow a fully embedded transceiver as the front-end module must be connected to the core-chip module and to its digital control interface. With the GaN power technologies providing high PAE, an interesting issue consists in designing a fully integrated GaN MMIC multifunction chip for highly integrated systems. This work presents, for the first time, a GaN attenuator-phase shifter covering a wide range of frequencies from 30 GHz to 40 GHz. Moreover, this circuit is a balanced version of the attenuator-phase shifter to target an improved linearity and to take full advantage of GaN power amplifiers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".