Performance Prediction Recipes for Optical Links

TL;DR

This paper presents practical, easy-to-implement methods for predicting fiber-optic link performance metrics, including FEC-related measures, from transmission data without FEC, applicable to various channels and independent of coding theory.

Contribution

It introduces a set of versatile prediction recipes that do not require detailed knowledge of coding theory, enabling accurate performance estimation in optical communication systems.

Findings

Provides recipes for predicting BER, SER, and information rates

Applicable to arbitrary channels without FEC knowledge

Includes software tools for implementation

Abstract

Although forward error-correction (FEC) coding is an essential part of modern fiber-optic communication systems, it is impractical to implement and evaluate FEC in transmission experiments and simulations. Therefore, it is desirable to accurately predict the end-to-end link performance including FEC from transmission data recorded without FEC. In this tutorial, we provide ready-to-implement "recipes" for such prediction techniques, which apply to arbitrary channels and require no knowledge of information or coding theory. The appropriate choice of recipe depends on properties of the FEC encoder and decoder. The covered metrics include bit error rate, symbol error rate, achievable information rate, and asymptotic information, in all cases computed using a mismatched receiver. Supplementary software implementations are available.