@inproceedings{c4ac12a1a71747c694d4f78f2fdf106a,
title = "Adaptive state-pruning MLSE for high-efficiency FTN-16QAM symbol-rate sampling coherent interconnection",
abstract = "This paper presents a novel logic-partitioning-based adaptive pruning maximum-likelihood sequence estimation (LPAPMLSE) algorithm designed to address the high computational complexity of traditional MLSE in high-speed coherent optical interconnects. Leveraging quadrature duobinary (QDB) shaped faster-than-Nyquist (FTN) 16QAM signaling, our approach dynamically prunes improbable state transitions through intelligent signal space partitioning, reducing computational complexity by 56.25\% while maintaining near-optimal detection performance (0.2dB penalty). Experimental validation in a 100Gbaud symbol-rate sampling digital signal processing (DSP) system demonstrates robust performance across 10/20/40km fiber transmissions, achieving comparable performance to full-state MLSE.",
keywords = "coherent optical communications, faster-than-Nyquist signaling, maximum-likelihood sequence estimation, symbol-rate DSP",
author = "Huan Zhang and Zhipei Li",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE.; 5th International Conference on Laser, Optics, and Optoelectronic Technology, LOPET 2025 ; Conference date: 23-05-2025 Through 25-05-2025",
year = "2025",
month = aug,
day = "20",
doi = "10.1117/12.3075983",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Bingxiang Li and Costa, \{Manuel F. M.\}",
booktitle = "5th International Conference on Laser, Optics, and Optoelectronic Technology, LOPET 2025",
address = "United States",
}