Binary faster than Nyquist optical transmission via non-uniform power allocation
Why this work is in the frame
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Bibliographic record
Abstract
Recently, faster-than-Nyquist (FTN) signaling (or also sub-Nyquist filtering) has been proposed as a means to increase the spectral efficiency of the next generation long-haul optical fiber transmission systems. In the high spectral efficiency regime, however, the severe intersymbol interference (ISI) inherent to the FTN signaling poses a significant challenge in implementing a practical FTN system. In this work, we propose to use non-uniform power allocation at the optical FTN transmitter and establish its optimality in the achievable capacity. Consequently, we utilize the non-uniform power allocation to design a low-complexity FTN receiver that can operate close to the channel capacity limit. Presented simulation results also illustrate that the proposed optical FTN signaling transceiver with non-uniform power allocation allows supporting very high spectral efficiencies.
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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 | 0.000 | 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) | 0.003 | 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 it