@inproceedings{843a54f79a7045abb90a4304eafb3539,
title = "Combining Efficient Probabilistic Shaping and Deep Neural Network to Mitigate Capacity Crunch in 5G Fronthaul",
abstract = "We experimentally demonstrate a capacity-approaching transmission in 5G fronthaul utilizing PS-PAM8 and DNN. An 80-Gb/s over 20-km SSMF transmission performance is realized with a beyond 7.3-dB gross gain over uniform PAM modulations with linear post-equalization.",
author = "Qi Zhou and Rui Zhang and Chen, \{You Wei\} and Shuyi Shen and Su, \{Shang Jen\} and Jeffrey Finkelstein and Chang, \{Gee Kung\}",
note = "Publisher Copyright: {\textcopyright} 2020 OSA.; 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 ; Conference date: 08-03-2020 Through 12-03-2020",
year = "2020",
month = mar,
language = "English",
series = "2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings",
address = "United States",
}