A Compact End-Fire Slotted SIW Antenna Array for 5G Mobile Handset
Bibliographic record
Abstract
This paper presents a 28-GHz slotted substrate integrated waveguide (SIW) antenna with end-fire radiation pattern for future 5G mobile handset. A pair of transverse slots is used in the broad faces to suppress back lobe radiation. The simulated 10-dB return loss bandwidth of the proposed SIW antenna is 26.9 GHz to 29.8 GHz. The proposed antenna achieves HPBW of 144.9° and gain of 5 dB with 98.8 % radiation efficiency. In comparison with open ended SIW front to back radiation ratio is increased up to 40 dB in this antenna. In order to achieve full spherical coverage, two beam steerable 4×1 subarrays could be employed in the top and bottom edges of the handset. The compactness, low cost and good performance of the proposed antenna make it an appropriate choice for the future 5G mobile handset.
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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 | 0.000 | 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".