Reconfigurable OAM Antenna With Flexibility on Mode Numbers, Polarization, and Frequency
Bibliographic record
Abstract
As existing Orbital Angular Momentum (OAM) antennas have no control on the operating frequency after fabrication and cannot simultaneously manipulate the polarization and mode number, designing smart OAM wireless communication systems are out of reach. However, in this paper, a new OAM antenna system is proposed that can efficiently overcome the aforementioned limitations. The suggested antenna utilizes a 2×2 Uniform Circular Array (UCA) composed of Multiple-Input-Multiple-Output (MIMO) antennas to introduce the MIMO-UCA technique for simultaneous generation of OAM mode numbers +1 and -1. The flexibility on polarization of each mode stems from the fact that each MIMO antenna consists$\pm 45^{\circ }$polarized elements, thus utilization of tunable feeds assigns the modes to the desired polarization simultaneously. The flexibility on the operating frequency is due to the frequency-reconfigurability of MIMO antennas as well. The fabricated prototype of the proposed structure verifies the simulated results. The operating frequency can be tuned from 3.8 GHz to 4.4 GHz. Over this band, the maximum gain is preserved above 6 dBi. The mutual coupling between the ports is below -20 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 | 0.001 | 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".