A Quadrilateral Self-Isolated Wideband MIMO SIW Fractal Koch Snowflake Slot Antenna Array for <i>Ka</i>-Band Communications
Bibliographic record
Abstract
This work proposes a new approach to design a quadrilateral self-isolated multiple-input–multiple-output (MIMO) antenna configuration operating for reliable$Ka$-band communications. The proposed design utilizes a single-layer substrate integrated waveguide (SIW) fractal Koch snowflake (FKS) slot antenna array. The main focus is on achieving wideband characteristics and self-isolation among antennas without using any additional isolation circuits. The method is described to obtain the wideband performance of the SIW FKS slot antenna array fed with a grounded coplanar waveguide (GCPW). The radiation performance of single-element and quadrilateral elements is analyzed. The simulation and measurement results demonstrate that the MIMO antenna elements exhibit a bandwidth of 27.1–32.4 GHz (17.8%) and peak gain of 8.3 dBi at 28 GHz. The achieved isolation levels are greater than 23 dB (simulated) and 20 dB (measured), with a self-isolation structure. Furthermore, this work extended to calculate diversity characteristics of proposed MIMO, such as the envelope correlation coefficient ($\text {ECC} \lt 0.005$), mean effective gain ratio ($\text {MEG} \lt 1.1$), diversity gain ($\text {DG}\lt 9.9$dB), and channel capacity loss ($\text {CCL}\lt 0.3$bits/s/Hz). These results validate that the proposed MIMO antenna design is performing satisfactorily. The fabricated prototype measurement results are validated with simulation results.
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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 | 0.000 |
| 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".