Modulation Format Classification of Probabilistically Shaped M-QAM Signals Based on Nonlinear Power Transformation-Reference-Cited by-同舟云学术

Modulation Format Classification of Probabilistically Shaped M-QAM Signals Based on Nonlinear Power Transformation

Published:2022-11-05 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia Communications and Photonics Conference (ACP)
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Author:

Huang Junling¹,Yi Anlin¹,Liao Pengcheng¹,Yan Lian Shan¹,Jiang Lin¹,Luo Bin¹

Affiliation:

1. Southwest Jiaotong University,Center for Information Photonics & Communications, School of Information Science and Technology,Chengdu,China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Sichuan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10088439/10088450/10088947.pdf?arnumber=10088947

Reference12 articles.

1. Modulation format identification and OSNR monitoring using density distributions in Stokes axes for digital coherent receivers

2. Modulation format identification enabled by the digital frequency-offset loading technique for hitless coherent transceiver[J];s;Optics Express,2018

3. Shaping Distribution Identification of Probabilistically Shaped MQAM Signals based on Generalized Circular Harmonic Expansion

4. A Modulation Format Identification Method Based on Amplitude Deviation Analysis of Received Optical Communication Signal

5. 16384-QAM transmission at 10 GBd over 25-km SSMF using polarizationmultiplexed probabilistic constellation shaping;chen;45th European Conference on Optical Communication (ECOC 2019),2019

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