Phase-insensitive shaping distribution identification in rate-adaptive PCS-MQAM optical transmission systems via exact likelihood evaluation with score-based generative models

Key Points

• Enhanced evaluation of optical transmission systems improves data rates and reliability, impacting communications technology.
• Exact likelihood evaluation was central to understanding phase-insensitive shaping in the systems analyzed, leading to precise results.
• The study used score-based generative models, analyzing their effectiveness in identifying shaping distributions.
• This work highlights the need for advanced modeling techniques to support ongoing developments in optical transmission efficiency.