Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Principle and strategy of using probabilistic shaping in a flexible coherent passive optical network without optical amplifiers

Not Accessible

Your library or personal account may give you access

Abstract

The coherent passive optical network (CPON) has received a great deal of attention in recent years due to its superior receiver sensitivity and extended power budget for 100G and beyond. In order to fully utilize the channel capacity and achieve adaptive rate adjustment in a flexible coherent passive optical network (FLCS-CPON), constellation-shaping techniques, such as probabilistic shaping (PS), have been introduced. Unlike long-distance transmission networks, which are subject to average power constraint when optical amplifiers are utilized, commercial passive optical network systems are generally subject to peak power constraint, as no optical amplifiers are used. This difference makes the classical probabilistic-shaping (CPS) technology less efficient in CPON systems without optical amplifiers. In this study, the use cases of PS in a flexible coherent access network, including nonlinear-penalty-dominant and noise-dominated regions, are thoroughly explored. By fixing the modulation order and utilizing CPS and reversed probabilistic shaping with a fixed modulation format, a hybrid PS-based FLCS-CPON without optical amplifiers is demonstrated, achieving a peak rate of 200G and a high dynamic range boost of up to 72% from 16 to 27.5 dB in upstream burst-mode-based PS-16 quadrature amplitude modulation. Over the entire dynamic range, the net data rate varies from 168 to 85 Gbps with a power budget of 37 dB, and a dynamic range and net-rate product improvement of 55% is achieved.

© 2023 Optica Publishing Group

Full Article  |  PDF Article
More Like This
End-to-end deep learning for a flexible coherent PON with user-specific constellation optimization

Sizhe Xing, Zhongya Li, Changle Huang, Guoqiang Li, Aolong Sun, An Yan, Wangwei Shen, Jianyang Shi, Ziwei Li, Chao Shen, Nan Chi, and Junwen Zhang
J. Opt. Commun. Netw. 16(1) 59-70 (2024)

Beyond 100G three-dimensional flexible coherent PON with time, frequency, and power resource-allocation capabilities

Wangwei Shen, Guoqiang Li, Sizhe Xing, Zhongya Li, An Yan, Jiaye Wang, Nan Chi, and Junwen Zhang
J. Opt. Commun. Netw. 16(5) 516-526 (2024)

FLCS-PON—an opportunistic 100 Gbit/s flexible PON prototype with probabilistic shaping and soft-input FEC: operator trial and ODN case studies

Robert Borkowski, Yannick Lefevre, Amitkumar Mahadevan, Doutje van Veen, Michael Straub, Ralph Kaptur, Björn Czerwinski, Bruno Cornaglia, Vincent Houtsma, Werner Coomans, René Bonk, and Jochen Maes
J. Opt. Commun. Netw. 14(6) C82-C91 (2022)

Data availability

The data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (10)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.