Iterative Polar Quantization-Based Modulation to Achieve Channel Capacity in Ultrahigh-Speed Optical Communication Systems

Hussam G. Batshon; Ivan B. Djordjevic; Lei Xu; Ting Wang

doi:10.1109/JPHOT.2010.2051219

Iterative Polar Quantization-Based Modulation to Achieve Channel Capacity in Ultrahigh-Speed Optical Communication Systems

Hussam G. Batshon, Ivan B. Djordjevic, Lei Xu, Ting Wang

Research output: Contribution to journal › Article › peer-review

57 Scopus citations

Abstract

In this paper, we propose a nonuniform coded-modulation format based on iterative polar quantization (IPQ) as a scheme to enable achieving channel capacity in ultrahigh-speed optical communication systems. The proposed modulation format is coded with structured low-density parity-check (LDPC) codes optimized for Gaussian channels and, in combination with polarization-multiplexing, can achieve 800 Gb/s per wavelength aggregate rate and beyond utilizing the currently available components operating at 50 GS/s. Using coded IPQ, we show that we can achieve capacity for signal-to-noise ratios (SNRs) of up to 25 dB and increase the total propagation distance over optical transmission systems by 275 km over coded star-quadrature amplitude modulation (QAM).

Original language	English (US)
Pages (from-to)	593-599
Number of pages	7
Journal	IEEE Photonics Journal
Volume	2
Issue number	4
DOIs	https://doi.org/10.1109/JPHOT.2010.2051219
State	Published - Aug 2010
Externally published	Yes

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

Keywords

Coded modulation
coherent communications
fiber optics and optical communications
forward error correction
iterative polar quantization (IPQ)
low-density parity-check (LDPC) codes
modulation

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10.1109/JPHOT.2010.2051219

Cite this

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title = "Iterative Polar Quantization-Based Modulation to Achieve Channel Capacity in Ultrahigh-Speed Optical Communication Systems",

abstract = "In this paper, we propose a nonuniform coded-modulation format based on iterative polar quantization (IPQ) as a scheme to enable achieving channel capacity in ultrahigh-speed optical communication systems. The proposed modulation format is coded with structured low-density parity-check (LDPC) codes optimized for Gaussian channels and, in combination with polarization-multiplexing, can achieve 800 Gb/s per wavelength aggregate rate and beyond utilizing the currently available components operating at 50 GS/s. Using coded IPQ, we show that we can achieve capacity for signal-to-noise ratios (SNRs) of up to 25 dB and increase the total propagation distance over optical transmission systems by 275 km over coded star-quadrature amplitude modulation (QAM).",

keywords = "Coded modulation, coherent communications, fiber optics and optical communications, forward error correction, iterative polar quantization (IPQ), low-density parity-check (LDPC) codes, modulation",

author = "Batshon, {Hussam G.} and Djordjevic, {Ivan B.} and Lei Xu and Ting Wang",

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AU - Batshon, Hussam G.

AU - Djordjevic, Ivan B.

AU - Xu, Lei

AU - Wang, Ting

PY - 2010/8

Y1 - 2010/8

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AB - In this paper, we propose a nonuniform coded-modulation format based on iterative polar quantization (IPQ) as a scheme to enable achieving channel capacity in ultrahigh-speed optical communication systems. The proposed modulation format is coded with structured low-density parity-check (LDPC) codes optimized for Gaussian channels and, in combination with polarization-multiplexing, can achieve 800 Gb/s per wavelength aggregate rate and beyond utilizing the currently available components operating at 50 GS/s. Using coded IPQ, we show that we can achieve capacity for signal-to-noise ratios (SNRs) of up to 25 dB and increase the total propagation distance over optical transmission systems by 275 km over coded star-quadrature amplitude modulation (QAM).

KW - Coded modulation

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Iterative Polar Quantization-Based Modulation to Achieve Channel Capacity in Ultrahigh-Speed Optical Communication Systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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