SIW-Fed Inner CDRA Inserted Into Outer Frustum-Capped DRA to Reduce ECC for CF-mMIMO Application
Bibliographic record
Abstract
This paper presents a novel design approach wherein an inner cylindrical dielectric resonator antenna (DRA) made of a low-permittivity material is inserted within an outer 3-layer hybrid stacked frustum-capped DRA constructed from a high-permittivity dielectric material. This configuration is proposed to effectively reduce the envelope correlation coefficient (ECC) by 45.4% and improve isolation by 20% while preserving the high gain performance characteristic of substrate integrated waveguide (SIW)-fed multiple-input multiple-output (MIMO) DRAs. The use of SIW feeding contributes to improved isolation among MIMO elements. The high gain achieved by the DRAs is attributed to the implementation of a novel hybrid stacking technique. The entire DRA structure is fabricated using 3D printing technology, which makes it lighter than conventional ceramic DRA implementations. These 3-D printed DRAs are biodegradable and easy to install in access points of a cell-free massive MIMO network (CF-mMIMO). The antenna operates in the HEM115 mode and exhibits a broadside radiation pattern. The antenna exhibits a 200 MHz (5.39 - 5.59 GHz) bandwidth, 7.8 dBi peak gain, -30 dB isolation, and a low ECC of 0.06.
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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) | 0.001 | 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 | 0.000 |
| 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".