Rectenna Design and Development Strategies for Wireless Applications: A review
Bibliographic record
Abstract
In this article, a comprehensive review specifically on the applications of rectennas for different wireless systems has been presented. Rectenna systems are used to convert radio-frequency (RF) energy into dc signals. Attracting ever-increasing interest among researchers, the rectenna has occupied a unique position in RF and microwave engineering systems. During the last four decades, the research on rectenna design has been focused on improving the power conversion efficiency (PCE) and compatibility while reducing the design complexity as well. This review article summarizes the overall rectenna research carried out for different applications, viz., wireless power transmission (WPT), wireless sensor networks (WSNs), solar power transmission (SPT), medical implants, and wireless energy-harvesting (WEH) systems. Such a review article has rarely been proposed in the open literature to the best of the authors’ knowledge. The main objectives of the article are to 1) accommodate the key design requirements of the rectenna, 2) study the potential application of rectennas and their possible configurations to achieve desired performance characteristics, and 3) to present a comparative analysis of the performance parameters of the different reported works.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".