A Compact Dual-Port Diversity Antenna for Long-Term Evolution Handheld Devices
Bibliographic record
Abstract
A compact integrated dual-port diversity antenna is presented, which is suitable for long-term evolution (LTE) and wireless fidelity (Wi-Fi) applications in handheld devices. The antenna design merges two planar inverted F-shaped antennas (PIFAs) into a single-antenna structure that not only occupies less volume in a handheld device but also eliminates the need to separate two individual antenna elements, which provides further space-saving efficiency. This can be accomplished even while maintaining desirable isolation and diversity characteristics. The proposed design can thus be utilized in compact wireless handheld communication devices that require signal diversity. An example design is described for 2.6-GHz LTE/Wi-Fi bands (2.5-2.7 GHz), which has been implemented in real-world cellular phone environments and include interactions between the antenna, other components of the device, and a model of a human head (the specific anthropomorphic mannequin phantom). The simulated and experimental results, including S-parameters, radiation patterns, signal correlations, and mean effective gain values, have validated the proposed antenna design as useful for compact mobile devices.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".