An antenna for switch beam, multi-beam millimetre-wave cellular systems
Bibliographic record
Abstract
This paper presents the design and implementation of a compact, two-dimensional antenna with broadband performance capable of increasing system capacity for next generation 5G base stations. This simple low profile, parallel plate Luneburg lens can be exploited to ensure high energy efficiency, higher data rates, spectral efficiency, and extended coverage leading to a reduction in the number of physical base station antennas, and towers. Inserted between the parallel plates are two identical machined dielectric lens profiles each with a smooth dielectric permittivity gradient, varying from 2 at the center to 1 at the edge corresponding to Luneburg lens design specification. The lens is fed by ultra-low loss open-ended waveguides with probe launchers to inject multiple independent beams at the lens surface and between the plates. The broadband lens has a 3-dB beamwidth of 40° × 5.3° in the E and H plane and an average radiation efficiency greater than 70%. Cross-polarization and port isolation is greater than 30 dB, allowing for the effective co-existence of multiple input beams. The switch beam antenna implementation was optimized to operate in the Ku-band but can be scaled to any suitable mm-wave frequency.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".