Constellation Design with Geometric and Probabilistic Shaping

Publication Date: 2/15/2018

Event: Optics Communications

Reference: 409: 7-12, 2018

Authors: Shaoliang Zhang, NEC Laboratories America, Inc.; Fatih Yaman, NEC Laboratories America, Inc.

Abstract: A systematic study, including theory, simulation and experiments, is carried out to review the generalized pairwise optimization algorithm for designing optimized constellation. In order to verify its effectiveness, the algorithm is applied in three testing cases: 2-dimensional 8 quadrature amplitude modulation (QAM), 4-dimensional set-partitioning QAM, and probabilistic-shaped (PS) 32QAM. The results suggest that geometric shaping can work together with PS to further bridge the gap toward the Shannon limit.

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