Terahertz wireless communication systems: challenges and solutions for realizations of effective bidirectional links
Bibliographic record
Abstract
Wireless communication systems have evolved through a pursuit for broader bandwidths and a drive to higher frequencies. The drive has continued to present day and is now approaching the terahertz (THz) spectrum, where there exists great potential for broadband communication—and equally great challenges. Of note are the challenges of mobility for conventional THz transmitters, which have low transmitted powers, large sizes, and high power consumption. The proposed work recognizes these challenges and introduces the concept of retro-modulation in passive THz transceivers to have them establish passive THz links. Conventional (active) THz transceivers and links are contrasted to the proposed (passive) THz transceivers and links, with experimental and theoretical results given for THz retro-modulators having corner-cube and spherical retroreflectors with optical and electrical modulators. Ultimately, the findings show that passive THz links with high-frequency electronic transmitters and detectors and the proposed THz retro-modulators are capable of operation with signal-to-noise ratios between 10 to 20 dB at 300 GHz. Such findings open the door to future bidirectional THz wireless communication systems with mobile THz transceivers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".