Low Mutual Coupling for DRA-based Massive MIMO Antenna Arrays by Using Decoupling Cavity
Bibliographic record
Abstract
Mutual decoupling in massive MIMO (Multiple-Input Multiple-Output) antenna systems is crucial for enhancing performance, particularly in advanced communication applications of the next generation. In this study, we propose a dielectric resonator antenna (DRA)-based massive MIMO antenna that incorporates decoupling cavities (DC) to improve isolation between elements, ensuring efficient operation at the 5 GHz frequency band. The proposed design utilizes a cylindrical DRA-based massive MIMO antenna, combined with a seamlessly integrated DC structure composed of three layered levels, positioned above the reference massive MIMO antenna array. The DC is made of an FR-4 board, with air cavities engraved into it. Simulation results demonstrate that integrating a DRA-based mMIMO antenna with DC significantly reduces coupling between array elements, from -17 dB to -30" " dB, increases the bandwidth to 1200" " MHz, improves the envelope correlation coefficient (ECC) and diversity gain, and enhances the radiation pattern in the E-plane.
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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 | 0.001 |
| 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 | 0.000 | 0.001 |
| 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".