Compact Multiband Handset Antenna Design for Covering 5G Frequency Bands
Bibliographic record
Abstract
New multiband antenna array structure with high gain is proposed for 5G communicationhandheld systems (700MHz/3.5 GHz and 28/38 GHz). The designed structure is proposed using acombination of sub-6GHz and mm-Wave antenna arrays. The antenna is based on S-shaped strip etched onthe top side to operate at 700 MHz. On the other hand, the 3.5GHz band is generated by coupling ameander line to an inverted-C strip on the bottom side. Finally, the mm-Wave antenna array is based onfour quadrupole elements with a 1:4 microstrip power divider. This configuration ensures that all fourquadrupole antennas receive in-phase feeding power. Obtained results confirm that the designed antennaarray achieves gains of 4.6 dBi, 10.5 dBi, at sub-6 GHz and mm-Wave band, respectively. Owing to itssimplicity and compactness, the proposed handset antenna is a good candidate for 5G multibandapplications.
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 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".