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Journal ArticleDOI

Rate Adaptation and Reach Increase by Probabilistically Shaped 64-QAM: An Experimental Demonstration

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TLDR
A transmission system with adjustable data rate for single-carrier coherent optical transmission is proposed, which enables high-speed transmission close to the Shannon limit, and it is experimentally demonstrated that the optical transmission of probabilistically shaped 64-QAM signals outperforms the transmission reach of regular 16- QAM and regular 64-ZAM signals.
Abstract
A transmission system with adjustable data rate for single-carrier coherent optical transmission is proposed, which enables high-speed transmission close to the Shannon limit. The proposed system is based on probabilistically shaped 64-QAM modulation formats. Adjustable shaping is combined with a fixed-QAM modulation and a fixed forward-error correction code to realize a system with adjustable net data rate that can operate over a large reach range. At the transmitter, an adjustable distribution matcher performs the shaping. At the receiver, an inverse distribution matcher is used. Probabilistic shaping is implemented into a coherent optical transmission system for 64-QAM at 32 Gbaud to realize adjustable operation modes for net data rates ranging from 200 to 300 Gb/s. It is experimentally demonstrated that the optical transmission of probabilistically shaped 64-QAM signals outperforms the transmission reach of regular 16-QAM and regular 64-QAM signals by more than 40% in the transmission reach.

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Citations
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Proceedings ArticleDOI

Scalable modulation technology and the tradeoff of reach, spectral efficiency, and complexity

TL;DR: The different available options to scale the per-channel bit-rate to 400 Gbit/s and beyond are reviewed, i.e. symbol-rate increase, use of higher-order quadrature amplitude modulation (QAM) modulation formats and use of super-channels with DSP-enabled spectral shaping and advanced multiplexing technologies.
Posted Content

Supply-Power-Constrained Cable Capacity Maximization Using Deep Neural Networks.

TL;DR: A 19% capacity gain per Watt of electrical supply power in a 12-span link is achieved by eliminating gain flattening filters and optimizing launch powers using machine learning by deep neural networks in a massively parallel fiber context.
Proceedings ArticleDOI

Flexible Transceivers: Extracting More Capacity from Elastic Meshed Optical Networks

TL;DR: Flexible transceivers can maximize optical transmission capacity by adapting the flexibility features to dynamic link conditions and extracting more capacity from elastic meshed optical networks with cascaded ROADM filtering.

Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise

TL;DR: In this article , 4D-GSS is introduced as an approach for closing the nonlinearity-caused shaping gap and a spectral efficiency of 8 b/4D-sym is compared against polarization-multiplexed 16QAM and probabilistically shaped PM-16QAM in a 400ZR compatible transmission setup with high amount of nonlinearities.
Journal ArticleDOI

New Lower Bounds on the Capacity of Optical Fiber Channels via Optimized Shaping and Detection

TL;DR: In this article , the authors describe a novel technique to optimize the shaping distribution in a very general setting and high-dimensional space for a simplified block-memoryless nonlinear optical channel, the capacity lower bound obtained by the proposed technique can be expressed analytically, establishing the conditions for an unbounded growth of capacity with power.
References
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Book

Information Theory and Reliable Communication

TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Journal ArticleDOI

Capacity Limits of Optical Fiber Networks

TL;DR: In this article, the capacity limit of fiber-optic communication systems (or fiber channels?) is estimated based on information theory and the relationship between the commonly used signal to noise ratio and the optical signal-to-noise ratio is discussed.
Journal ArticleDOI

Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC

TL;DR: The fundamental mechanism that explains why “convolutional-like” or “spatially coupled” codes perform so well is described, and it is conjecture that for a large range of graphical systems a similar saturation of the “dynamical” threshold occurs once individual components are coupled sufficiently strongly.
Patent

Pulse code communication

Gray Frank
Journal ArticleDOI

Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation

TL;DR: A new coded modulation scheme is proposed that operates within less than 1.1 dB of the AWGN capacity 1/2 log2(1 + SNR) at any spectral efficiency between 1 and 5 bits/s/Hz by using only 5 modes.
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