Wideband Reconfigurable Intelligent Surface for Programmable Beam Steering in 6G Wireless Networks
Bibliographic record
Abstract
This paper introduces a wideband Reconfigurable Intelligent Surface (RIS) optimized for 6 G wireless networks, operating in the$7-15\ \text{GHz}$band. The design features multiple arrays of binary unit cells incorporating PIN diodes on a low-loss Rogers RT-duroid 5880 substrate. Simulations demonstrate two key advances: a${4 3. 5 \%}$operational bandwidth${ (6. 7 5 - 1 0. 5}$GHz) with consistent 180° phase difference and reflection losses below 0.5 dB, and accurate beam steering via three programmable coding sequences (octic/sextic/quartic), achieving deflection angles of$19^{0}-40^{0}$with$\leq 4^{0}$deviation from theoretical predictions. These results position the proposed RIS as a scalable solution for enhancing spectral efficiency and coverage in next-generation networks while maintaining energy-efficient operation.
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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".