Increasing Achievable Information Rates via Geometric Shaping

Abstract

Achievable information rates are used as a metric to design novel modulation formats via geometric shaping. The proposed geometrically shaped 256-ary constellation achieves SNR gains of up to 1.18 dB.

Additional references have been added

References in corpus (2)

• On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel
• Achievable Information Rates for Fiber Optics: Applications and Computations

Cited by in corpus (10)

• Introducing Enumerative Sphere Shaping for Optical Communication Systems with Short Blocklengths
• Probabilistic Shaping for Finite Blocklengths: Distribution Matching and Sphere Shaping
• Polarization-ring-switching for nonlinearity-tolerant geometrically-shaped four-dimensional formats maximizing generalized mutual information
• Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems
• End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
• Analysis and Experimental Demonstration of Orthant-Symmetric Four-dimensional 7 bit/4D-sym Modulation for Optical Fiber Communication
• Low-complexity Voronoi shaping for the Gaussian channel
• Modified QPSK Partition Algorithm Based on MAP Estimation for Probabilistically-Shaped 16-QAM
• On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems
• Low-Complexity Geometrical Shaping for 4D Modulation Formats via Amplitude Coding