Towards the Development of Large-Scale Multifunction Array Transceiver Systems
Bibliographic record
Abstract
This paper reviews and examines our recent work on the development of topological transceiver array frontends to enable reconfigurable multi-functionality and deep structural integration at millimeter wave (mmW) and terahertz (THz) frequencies. The theory and principle of an unprecedented virtual transceiver matrix (VTM) technique were proposed with its demonstration through interferometric schemes. This unique topology is based on the selective allocation of receiver and transmitter units that incorporate angle-of-arrival (AoA) and beamforming operations for smart and efficient simultaneous multifunction applications. On the other hand, our proposed ultra-low-power quadrature harmonic self-oscillating mixer (QHSOM) provides the most compact stand-alone quadrature receiver unit ever-developed so far. Its special features can ideally serve in the realization of a reconfigurable distributed large-scale array transceiver. Topology-enabled superiority besides flexible transceiver units sets up a framework for 5G/6G and future development path of multifunction THz systems.
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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 | 0.000 | 0.001 |
| 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".