Broadband Channel Characterization and Estimation for Wideband Terahertz Wireless Communications
Bibliographic record
Abstract
Terahertz (THz) wireless communication systems enable high-speed, low-latency operation, but they have enduring challenges for their transceivers and channels in overcoming water vapour absorption. The absorption is challenging because its sharp spectral peaks (relative to the communication bandwidth) result in large channel delay spread and frequency-selective attenuation, rendering much of the bandwidth unusable. In this work, we propose a novel channel estimation technique employing broadband characterization to equalize the effects of absorption and recover bandwidth. We simulate its performance for a system applying frequency-division multiplexing (FDM) and multiple-input-multiple-output (MIMO) technology, with the channel amplitude waveform measured in real time and the phase waveform extracted via Kramers-Kronig (KK) relations. We show that the proposed system can realize strong performance.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".