Dual-Layer Metamaterial Rectangular Antenna Arrays for In-Band Full-Duplex Massive MIMO
Bibliographic record
Abstract
This paper presents a prototype pair of dual-layer electromagnetic bandgap slotted circularly polarized patch 8x8Tx/8x8Rx orthogonally-polarized antenna arrays designed for in-band full-duplex massive MIMO. The design processes of the antenna array, beamforming feeding network, and beam steering algorithms are discussed. The proposed prototype operates in a bandwidth of 250 MHz (or 7.1% at 3.5 GHz) from 3.35 GHz to 3.6 GHz. Using orthogonal Tx/Rx polarization, an average mutual coupling between any two Tx and Rx antenna elements of -49.2 dB can be achieved. Further improvement in Tx-to-Rx isolation at the beam level can be achieved with the two proposed beamforming schemes. Illustrative results using Tx/Rx 1x4 sub-arrays indicate the formed beams with an average mutual coupling of -65.6 dB between any two Tx and Rx beams (i.e., an improvement of 16.4 dB in Tx/Rx isolation). The sample Tx and Rx far-field beam patterns, radiation null depth and position, and corresponding Tx-to-Rx mutual coupling levels are investigated, which gives insight into the beamforming isolation improvement design. Within a steering range from -50 to 50 degrees, a directivity over 10.7 dB, a 3dB-beamwidth narrower than 33.0 degrees, and a normalized sidelobe level lower than -9.0 dB are achieved. Simulation and measurement results on the mutual coupling, beamforming directivity, beamwidth, and radiation patterns in various scenarios are investigated and found to be in good agreement.
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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".