1997
DOI: 10.1109/68.618507
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Performance analysis of optical transmission system with polarization-mode dispersion and forward error correction

Abstract: This letter shows that sufficient interleaving is essential for forward error correction to provide average bit-errorrate (BER) improvement in a high polarization-mode-dispersion (PMD) system. While error correction improves the outrage probability, in term of average BER, error correction cannot extend the tolerable PMD level and provides no performance improvement when PMD is larger than 0.2-bit interval.

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Cited by 19 publications
(1 citation statement)
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“…W ITH the development of the Internet of Things and Fifth-generation (5G) mobile communications technology, Wireless communication networks are the basic social infrastructure and are widely used around the world [1].In the complex and changing mobile communication environment, enabling more users to access the network and improving the system data transmission performance, which has become a key issue facing 5G mobile communication technology. Many indicators can be used to evaluate transmission performance, such as outrage probability [2], symbol error rate [3], channel capacity [4], and so on. Due to the diversification of application scenarios and the continuous increase of transmitting and receiving antennas, the amount of simulation data for large-scale Multiple Input Multiple Output(MIMO) channel testing has surged, resulting in a heavy burden on the estimation and modeling tasks of channel parameters [5].…”
Section: Introductionmentioning
confidence: 99%
“…W ITH the development of the Internet of Things and Fifth-generation (5G) mobile communications technology, Wireless communication networks are the basic social infrastructure and are widely used around the world [1].In the complex and changing mobile communication environment, enabling more users to access the network and improving the system data transmission performance, which has become a key issue facing 5G mobile communication technology. Many indicators can be used to evaluate transmission performance, such as outrage probability [2], symbol error rate [3], channel capacity [4], and so on. Due to the diversification of application scenarios and the continuous increase of transmitting and receiving antennas, the amount of simulation data for large-scale Multiple Input Multiple Output(MIMO) channel testing has surged, resulting in a heavy burden on the estimation and modeling tasks of channel parameters [5].…”
Section: Introductionmentioning
confidence: 99%