Extended Study on Equalization-Enhanced Phase Noise for High-Order Modulation Formats

Coherent optical receivers with electronic dispersion compensation (EDC) become ubiquitous for high-capacity and long-distance transmissions. However, their performance can be decimated by equalization-enhanced phase noise (EEPN). The existing reports have shown some unique features that deserve fur...

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Bibliographic Details
Published in:Journal of lightwave technology 2022-12, Vol.40 (24), p.7808-7813
Main Authors: Wang, Huaiyin, Yi, Xingwen, Zhang, Jing, Li, Fan
Format: Article
Language:English
Subjects:
Algorithms
Amplitudes
Electronic dispersion compensation
Equalization
equalization-enhanced phase noise
Laser noise
Modulation
optical fiber communication
Optical fiber dispersion
Optical receivers
Phase noise
phase recovery
Phase shift keying
Probability density functions
quadrature amplitude modulation
Receivers
Symbols
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Summary:Coherent optical receivers with electronic dispersion compensation (EDC) become ubiquitous for high-capacity and long-distance transmissions. However, their performance can be decimated by equalization-enhanced phase noise (EEPN). The existing reports have shown some unique features that deserve further studies, especially for high-order modulation formats. In this paper, we firstly show that the intra-symbol EEPN is dominated by the phase noise. Therefore, the probability density function (PDF) due to intra-symbol EEPN and inter-symbol EEPN are quite different. We derive the variances of EEPN-induced phase and amplitude noise for QPSK signals, and fully explain the elliptical PDF. Secondly, we show that the intra-symbol EEPN is scaled with the power of the different modulus, but the inter-symbol one, the average power of the constellation. Subsequently, we elucidate that for higher-order constellations with multiple moduli, the total EEPN, the EEPN-induced phase noise and amplitude noise, all distribute differently on the different moduli. Finally, we analyze the EEPN after the practical carrier phase recovery algorithms, also with a closed-form prediction. Our analysis of EEPN is readily extended to arbitrary modulation formats.
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2022.3204580