16-QAM Probabilistic Constellation Shaping by Learning the Distribution of Transmitted Symbols from the Training Sequence

A. Fallahpour; F. Alishahi; A. Minoofar; K. Zou; A. Almaiman; P. Liao; H. Zhou; M. Tur; A. E. Willner; IEEE

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16-QAM Probabilistic Constellation Shaping by Learning the Distribution of Transmitted Symbols from the Training Sequence

A. Fallahpour, F. Alishahi, A. Minoofar, K. Zou, A. Almaiman, P. Liao, H. Zhou, M. Tur, A. E. Willner and IEEE

2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), Vol.2020, pp.1-3

01/01/2020

Abstract

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

A technique for probabilistic constellation shaping based on distribution learning from a training sequence is investigated. In this approach, the probability distribution is optimized such that it can maximize the mutual information. The effectiveness of this approach is verified by shaping 10 Gbaud 16QAM in simulation and experiment.

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Title: 16-QAM Probabilistic Constellation Shaping by Learning the Distribution of Transmitted Symbols from the Training Sequence
Creators - without role: A. Fallahpour - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
F. Alishahi - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
A. Minoofar - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
K. Zou - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
A. Almaiman - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
P. Liao - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
H. Zhou - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
M. Tur - Tel Aviv University
A. E. Willner - Univ Southern Calif, Ming Hsieh Dept Elect Engn, 3740 McClintock Ave, Los Angeles, CA 90089 USA
IEEE
Publication Details: 2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), Vol.2020, pp.1-3
Publisher: IEEE
Number of pages: 3
Identifiers: 9951591708331
Academic Unit: King Saud University
Language: English
Resource Type: Conference proceeding