Interference and Phase Noise Mitigation in a Dual-Polarized Faster-than-Nyquist Transmission
Bibliographic record
Abstract
Dual-polarized (DP) faster-than-Nyquist (FTN) transmission using higher-order modulation (HoM) schemes can significantly increase the spectral efficiency (SE) of the existing wireless backhaul links. However, FTN transmissions introduce inter-symbol interference (ISI), antenna polarization multiplexing suffers from cross-polarization interference (XPI) and HoM makes a communication system vulnerable to phase-noise (PN) distortions. In this work, we investigate for the first time a DP-FTN HoM transmission system that offers more than 150% increase in SE compared to a single-polarized Nyquist transmission. We propose an interference cancellation and PN mitigation structure coupled with adaptive decision-feedback equalization to jointly mitigate XPI, FTN and multipath ISI, and accomplish carrier-phase tracking. Numerical results confirm that a DP-FTN transmission can yield a 3-6 dB performance improvement over an equivalent DP-Nyquist system that uses a higher modulation order to achieve the same data rate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".