Silicon Photonics for Inter/Intra-Chip Wireless Communication Using RF On-Chip Antennas
Bibliographic record
Abstract
This study experimentally demonstrates both inter-chip and intra-chip RF transmission for short-range microwave communication using on-chip antennas, implemented on a silicon photonic platform. The unification of antenna with photonic integrated circuits (PICs) reduces system loss for high data rate communication by eliminating parasitics. We designed, fabricated, and measured two antenna topologies (blade and triangular) for intra-chip communication and one (meander antenna) for both inter-chip as well as intra-chip communication. The three on-chip antenna topologies have resonance at 15.7 GHz, 13.2 GHz, and 12.6 GHz, and maximum transmission coefficient (S21) value above -30 dB for all antennas. Their operation is further validated by low return loss value (S11 ≤ -20 dB), indicating strong impedance matching with minimal power reflection. The intra-chip RF data transmission has been confirmed with bit- error-rate (BER) measurements of below 10-9 up to a data rate of 4 Gbps. We have also performed inter-chip communication between two on-chip antennas separated by a distance of upto 18 mm and accomplished 4 Gbps transmission with BER < 10-9. Our findings indicate that on-chip antennas integrated onto silicon photonic chips provides a seamless conversion between electrical and optical signals. This integration enables various on-chip RF wireless applications such as chip-to-chip and off-chip communication, along with wireless sensing off-chip. Furthermore, the incorporation of an integrated antenna facilitates the realization of integrated RF photodetector-antenna emitters on a silicon photonic chip, thereby significantly reducing size, weight, area, and power requirements.
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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 | 0.000 |
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".