Multiport Interferometric Technology: A Versatile Transceiver Solution for Wireless Communication, Sensing, and Imaging Systems
Bibliographic record
Abstract
The multiport interferometric technology holds significant promise as a versatile transceiver solution for next-generation wireless systems. Considerable progress has been made in exploring and developing this technology for RF front-end circuits and systems, including transmitters, receivers, and fully integrated transceivers. Its architecture distinguishes itself through several key advantages, namely, low power requirements for local oscillator (LO), cost-effectiveness, structural simplicity, wideband operation, and appreciable suitability for millimeter-wave (mmW) and terahertz (THz) applications. A particularly compelling feature of this technology is its inherent linear interference-based operation, which allows for a unified circuit topology to be used interchangeably as both a transmitter and a receiver. This versatility makes it an attractive candidate for addressing the growing demand for multifunctional wireless system design. This review article presents a comprehensive overview of the ongoing evolution of multiport interferometric technology. Various architectures are holistically examined through practical examples, with an emphasis on technical attributes, design innovations, and application scenarios. Recent advancements are highlighted, showcasing key research milestones and achievements in the field. The article also outlines future research directions and developmental prospects in the context of emerging wireless applications. As wireless systems increasingly require integrated capabilities—combining communication, sensing, and imaging—the adoption of multiport interferometric technology is poised to play a pivotal role in enabling this convergence. Its continued advancement is expected to drive innovation across a broad spectrum of next-generation wireless platforms.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".