Waveguide Receiver Array for Joint Communication, Sensing, and Power Transfer Systems
Bibliographic record
Abstract
This article introduces, for the first time, a waveguide receiver array tailored for joint communication, sensing power, and transfer systems. The receiver utilizes an orthomode transducer (OMT) to achieve polarization diversity, effectively doubling channel capacity and enhancing spectral efficiency without adding circuit complexity or increasing the number of components compared to traditional single-polarization designs. In addition, the receiver integrates a differential rectifier, fabricated using 65-nm bulk CMOS technology, to enable wireless power transfer. This integration allows the system to support both wireless communication and energy harvesting simultaneously. A mathematical model is developed to guide the receiver’s design. To validate the concept, a prototype receiver is fabricated and tested. The receiver successfully generates dc power from a 28-GHz wireless power transfer signal, achieving a peak power conversion efficiency (PCE) of up to 18%. Furthermore, it successfully demodulates a range of M-quadrature amplitude modulation (QAM) signals, demonstrating the effectiveness of the proposed design. These results position the multifunctional receiver array as a promising solution for millimeter-wave Internet of Things (IoT) 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) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".