800-Gb/s/carrier WDM Coherent Transmission Over 2000 km Based on Truncated PS-64QAM Utilizing MIMO Volterra Equalizer

Kong, Miao; Shi, Junting; Sang, Bohan; Ding, Jianfeng; Wang, Kaihui; Li, Weiping; Wang, Feng; Liu, Cuiwei; Wang, Yanyi; Wei, Yiran; Zhu, Bowen; Zhao, Li; Zhou, Wen; Yu, Jianjun

doi:10.1109/jlt.2022.3148336

Cited by 39 publications

(8 citation statements)

References 20 publications

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Section: Research Progress On Long-distance Transmissionmentioning

confidence: 99%

“…The simulation results for several kinds of modulation format in ref 206 show that CMA equalizer is more suitable for evenly distributed signals. The CMA can converge well for a uniform 64QAM signal.…”

Section: Acs Photonicsmentioning

confidence: 99%

“…The higher shaping depth of the PS signals can bring larger shaping gain, but too large shaping depth will not be able to adapt well to the DSP algorithms at the receiving end. The truncated PS , was utilized to obtain a more suitable shaping depth and reduce the difficulty of some DSP algorithms, such as the constant modulus algorithm (CMA) equalization.…”

Section: Research Progress On Long-distance Transmissionmentioning

confidence: 99%

“…We will brief on the research contents of those major national projects. Projects of optical fiber transmission on ultrahigh-speed optical fiber communications include single-channel Tb/s 1000 km transmission, − P bit/s WDM signals 1000 km transmission, − 100 Tb/s 1000 km transmission, − few-mode multicore transmission systems, − 17-core three-mode transmission systems, − hollow fibers, − amplifiers for new bands, − and few-mode amplifiers. − The following will elaborate on several representative projects.…”

Section: Introduction Of National Project Investmentmentioning

confidence: 99%

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High-Speed Optical Fiber Communication in China

2022

ACS Photonics

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In the past decade, China has made great investments in studying photonics and photocommunication with larger communication capacity, better performance, and lower cost. After years of heavy investment, great progress has been made in academic research, manufacturing capabilities, and optical network scale. The number of papers written and published by researchers in China in the world’s top optical fiber communication conferences has increased year by year, accounting for about 10% of the total number of papers. These high-level articles show that scientists in China have made great strides in photonics research in devices, systems, and networks. On the other hand, photonics industrialization in China is getting more competitive with its large market scale and strong production capacity.

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Section: Research Progress On Long-distance Transmissionmentioning

confidence: 99%

Section: Acs Photonicsmentioning

confidence: 99%

Section: Research Progress On Long-distance Transmissionmentioning

confidence: 99%

Section: Introduction Of National Project Investmentmentioning

confidence: 99%

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High-Speed Optical Fiber Communication in China

2022

ACS Photonics

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“…Traditional time-domain blind equalization algorithms, including CMA [ 10 ] and the Decision-Directed Least Mean Square (DD-LMS) algorithm [ 11 ], are usually affected by the uneven occurrence probability of constellation points when working on PS-QAM signals [ 12 ]. The truncated PS-64QAM modulation format is designed to obtain a more suitable shaping depth, and make the shaped signal better suited to the CMA equalization [ 13 ]. Actually, the recovery of received m-QAM signals can be regarded as an m-classification problem.…”

Section: Introductionmentioning

confidence: 99%

4Gbaud PS-16QAM D-Band Fiber-Wireless Transmission over 4.6 km by Using Balance Complex-Valued NN Equalizer with Random Oversampling

Xie

2023

Sensors

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D-band (110–170 GHz) is a promising direction for the future of 6th generation mobile networks (6G) for high-speed mobile communication since it has a large available bandwidth, and it can provide a peak rate of hundreds of Gbit/s. Compared with the traditional electrical approach, photonics millimeter wave (mm-wave) generation in D-band is more practical and effectively overcomes the bottleneck of electrical devices. However, long-distance D-band wireless transmission is still limited by some key factors such as large absorption loss and nonlinear noises. Deep neural network algorithms are regarded as an important technique to model the nonlinear wireless behavior, among which the study on complex-value equalization is critical, especially in coherent detection systems. Moreover, probabilistic shaping is useful to improve the transmission capacity but also causes an imbalanced machine learning issue. In this paper, we propose a novel complex-valued neural network equalizer coupled with balanced random oversampling (ROS). Thanks to the adaptive deep learning method for probabilistic shaping-quadrature amplitude modulation (PS-QAM), we successfully realize a 135 GHz 4Gbaud PS-16QAM with a shaping entropy of 3.56 bit/symbol wireless transmission over 4.6 km. The bit error ratio (BER) of 4Gbaud PS-16QAM can be decreased to a soft-decision forward error correction (SD-FEC) with a 25% overhead of 2×10−2. Therefore, we can achieve a net rate of an 11.4 Gbit/s D-band radio-over-fiber (ROF) delivery over 4.6 km air free wireless distance.

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