Design and Analysis of a Compact 4-Port MIMO Antenna for Improved Isolation and 5G (n78/n77/n48) Performance
Bibliographic record
Abstract
This paper describes the compact design of a 4-port MIMO (multi-input, multi-output) antenna with enhanced diversity parameters for the n78/77/48 5G band.The proposed 4port MIMO antenna design consists of a symmetrical two-pair monopole antenna placed closely (less than space diversity of λmax/2).The MIMO antenna design incorporates Rogers RO3003 substrates with a εr of 3.2.The antenna size is compact, with dimensions of 78×64.5×1.6 mm 3 with enhanced isolation and diversity parameters.The T-shaped stub is etched from the ground and incorporated with grounding branching in the middle of the ground plane, which enhances the bandwidth, gain, and isolation.Moreover, placing a horizontal or vertical decoupling element between the two sets of antennas obstructs the reverse current path and reduces the S21.The proposed antenna has an envelope correlation coefficient (ECC) of 0.00789, a diversity gain (D.G.) of 9.96 dB, a total effective reflection coefficient (TARC) of < -10 dB, a mean effective gain (MEG) of 0.01 dB, a channel capacity loss (CCL) of 0.24 bps/Hz, a peak gain of 4.4 dBi, and a radiation efficiency of 98.85% across the specified range, respectively.In addition, S21 is -22 dB across the bands.Further, the suggested antenna also has the advantages of compact size and better diversity parameters, which ensure its compatibility with modern n78/77/48 band 5G systems, Wi-Max bands, and V2V applications.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".