A Hyperbolic Secant-Based Pulse for Enhanced FTN Signaling in 5G/6G Systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper investigates pulse shaping optimization in faster-than-Nyquist (FTN) signaling to enhance spectral efficiency and reduce inter-symbol interference (ISI). We propose a novel hyperbolic secant root-raised cosine (HS-RRC) pulse, obtained by multiplying the conventional RRC pulse with a hyperbolic secant function. The HS-RRC pulse exhibits improved time localization, reduced ISI, and enhanced bit-error-rate (BER) performance. Extensive simulations show that, compared to the standard RRC pulse, the HS-RRC achieves notable gains in time-bandwidth product and BER across various roll-off factors. Unlike prior hyperbolic-based approaches tyrovolas2022novel, our multiplicative shaping method offers both improved spectral containment and implementation simplicity. For selected temporal compression factors (τ), the HS-RRC achieves up to a 4 dB SNR improvement at τ=0.5 and 2 dB at τ=0.8, at BER levels of 10-1 and 10-4. These enhancements significantly boost system performance, demonstrating the pulse’s ability to reduce ISI and improve system robustness under varying compression conditions, with promising applications for next-generation 5G/6G networks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it