Compact 26–30 GHz Reflection-Type Phase Shifter With 8-Bit Switched Phase Tuning Utilizing Chalcogenide Phase-Change Switches
Bibliographic record
Abstract
This article reports the first implementation of a 8-bit millimeter-wave (mmWave) reflection-type phase shifter (RTPS) based on phase change material (PCM) germanium telluride (GeTe). The switched phase shifter employs a compact co-planar waveguide (CPW)-based quadrature coupler in folded tandem configuration monolithically integrated with two identical reconfigurable reflective loads optimized to achieve a large phase shift range. Reconfigurability is achieved using eight identical latching PCM switches to load or unload a desired reflective load while consuming no static dc power. Various reflective load topologies are investigated for the optimum phase shift range over the operational bandwidth. The reflective load consists of either high-frequency metal-insulator-metal (MIM) capacitors. The resonance frequency of various states is pushed beyond 40 GHz to get a resonance-free tuning zone. The fully integrated phase shifter is highly miniaturized with an overall device footprint under$0.98\times0.9$mm, fabricated using an eight-layer in-house microfabrication process. The mmWave phase shifter demonstrates measured average insertion loss of 5.25 dB with only ±0.75 dB loss variation over 4 GHz bandwidth at 28 GHz center frequency. The proposed phase shifter exhibits a measured 280° linear phase shift in 256 discrete precision steps over 26 to 30 GHz with a figure-of-merit (FoM) of 53.3°/dB.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".