Achievable Information Rates for Fiber Optics: Applications and Computations
arXiv:1709.10393 · doi:10.1109/JLT.2017.2786351
Abstract
In this paper, achievable information rates (AIR) for fiber optical communications are discussed. It is shown that AIRs such as the mutual information and generalized mutual information are good design metrics for coded optical systems. The theoretical predictions of AIRs are compared to the performance of modern codes including low-parity density check (LDPC) and polar codes. Two different computation methods for these AIRs are also discussed: Monte-Carlo integration and Gauss-Hermite quadrature. Closed-form ready-to-use approximations for such computations are provided for arbitrary constellations and the multidimensional AWGN channel. The computation of AIRs in optical experiments and simulations is also discussed.
References in corpus (6)
- On Achievable Rates for Long-Haul Fiber-Optic Communications
- Impact of 4D channel distribution on the achievable rates in coherent optical communication experiments
- Performance Prediction of Nonbinary Forward Error Correction in Optical Transmission Experiments
- Information Rates of Next-Generation Long-Haul Optical Fiber Systems Using Coded Modulation
- Information Rates and post-FEC BER Prediction in Optical Fiber Communications
- An Experimental Comparison of Coded Modulation Strategies for 100 Gbit/s Transceivers
Cited by in corpus (24)
- Adaptive Coded Modulation for IM/DD Free-Space Optical Backhauling: A Probabilistic Shaping Approach
- 400 Gbps Dual-polarisation Non-linear Frequency-division Multiplexed Transmission with b-Modulation
- Polarization-ring-switching for nonlinearity-tolerant geometrically-shaped four-dimensional formats maximizing generalized mutual information
- High-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel
- Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems
- Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning
- Analysis and Experimental Demonstration of Orthant-Symmetric Four-dimensional 7 bit/4D-sym Modulation for Optical Fiber Communication
- Increasing Achievable Information Rates via Geometric Shaping
- Analytical Model of Nonlinear Fiber Propagation for General Dual-Polarization Four-Dimensional Modulation Format
- On the Nonlinear Shaping Gain with Probabilistic Shaping and Carrier Phase Recovery
- Sequence-Selection-Based Constellation Shaping for Nonlinear Channels
- Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise
- On Shaping Gain of Multidimensional Constellation in Linear and Nonlinear Optical Fiber Channel
- Distortion-Aware Phase Retrieval Receiver for High-Order QAM Transmission with Carrierless Intensity-Only Measurements
- Post-FEC BER Benchmarking for Bit-Interleaved Coded Modulation with Probabilistic Shaping
- Low-complexity Voronoi shaping for the Gaussian channel
- Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
- Performance Prediction Recipes for Optical Links
- Neural Enhancement of Factor Graph-based Symbol Detection
- SDM Optical Systems with MMSE Equalizers: Information Rates and Performance Monitoring
- Kramers-Kronig Receiver Combined With Digital Resolution Enhancer
- Pilot Distributions for Joint-Channel Carrier-Phase Estimation in Multichannel Optical Communications
- Optimization of Transmitter-Side Signal Rotations in the Presence of Laser Phase Noise
- Frequency Logarithmic Perturbation on the Group-Velocity Dispersion Parameter with Applications to Passive Optical Networks