Cost-Gain Analysis of Sequence Selection for Nonlinearity Mitigation
We propose a low-complexity sign-dependent metric for sequence selection and study the nonlinear shaping gain achievable for a given computational cost, establishing a benchmark for future research. Small gains are obtained with feasible complexity. Higher gains are achievable in principle, but with...
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| Format: | Artikel |
| Sprache: | eng |
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| Zusammenfassung: | We propose a low-complexity sign-dependent metric for sequence selection and
study the nonlinear shaping gain achievable for a given computational cost,
establishing a benchmark for future research. Small gains are obtained with
feasible complexity. Higher gains are achievable in principle, but with high
complexity or a more sophisticated metric. |
|---|---|
| DOI: | 10.48550/arxiv.2411.02004 |