Optical Communications for Short Reach

Chagnon, Mathieu

doi:10.1109/jlt.2019.2901201

Cited by 129 publications

(39 citation statements)

References 51 publications

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“…Accordingly, the modulated four-level Manchester signal is transmitted through a standard single-mode fibre (SSMF) having 17 ps/nm and 0.2 dB/km as dispersion and attenuation parameters, respectively, with 0 dBm as launched power to avoid self-phase modulation. The non-linearities may mainly due to the interaction between the signal-signal beat interference and the dispersion [26]. The VSB filter is next to SSMF with its parameters optimised for the bitrate under consideration, bandwidth is set at 40 GHz while 30 GHz was employed as the detuning frequency.…”

Section: Performance Settings and Simulation Setupmentioning

confidence: 99%

Multilevel Manchester (2 bits/symbol) coding with optical equaliser for increasing the transmission distance of high‐speed fibre optic links

Oluwajobi

Nguyen

Khan

et al. 2020

IET Optoelectronics

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Section: Performance Settings and Simulation Setupmentioning

confidence: 99%

Multilevel Manchester (2 bits/symbol) coding with optical equaliser for increasing the transmission distance of high‐speed fibre optic links

Oluwajobi

Nguyen

Khan

et al. 2020

IET Optoelectronics

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“…According to the theoretical analysis in [18], the signal after the optoelectronic detection by a photodiode (PD) detection will experience kinds of impairment sources in an IM-DD system. In this work, we mainly focus on electro-optical modulation, CD effect and square-law detection.…”

Section: Impairments In Im-dd Systemmentioning

confidence: 99%

Nonlinear Tomlinson-Harashima precoding for direct-detected double sideband PAM-4 transmission without dispersion compensation

Xin¹,

Zhang²,

Kong³

et al. 2019

Opt. Express

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“…Short reach optical communications are found in many data center, metro and access network scenarios and crucially rely on the simplicity and cost-effectiveness of IM/DD [16]. IM/DD links are also considered as prime candidates for fiber to the x (FTTX) systems, realized for instance via passive optical networks (PONs).…”

Section: B Communication Channelmentioning

confidence: 99%

Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing

Karanov

Liga

Aref

et al. 2019

2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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In this paper, we apply deep learning for communication over dispersive channels with power detection, as encountered in low-cost optical intensity modulation/direct detection (IM/DD) links. We consider an autoencoder based on the recently proposed sliding window bidirectional recurrent neural network (SBRNN) design to realize the transceiver for optical IM/DD communication. We show that its performance can be improved by introducing a weighted sequence estimation scheme at the receiver. Moreover, we perform bit-to-symbol mapping optimization to reduce the bit-error rate (BER) of the system. Furthermore, we carry out a detailed comparison with classical schemes based on pulse-amplitude modulation and maximum likelihood sequence detection (MLSD). Our investigation shows that for a reference 42 Gb/s transmission, the SBRNN autoencoder achieves a BER performance comparable to MLSD, when both systems account for the same amount of memory. In contrast to MLSD, the SBRNN performance is achieved without incurring a computational complexity exponentially growing with the processed memory.

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Optical Communications for Short Reach

Cited by 129 publications

References 51 publications

Multilevel Manchester (2 bits/symbol) coding with optical equaliser for increasing the transmission distance of high‐speed fibre optic links

Multilevel Manchester (2 bits/symbol) coding with optical equaliser for increasing the transmission distance of high‐speed fibre optic links

Nonlinear Tomlinson-Harashima precoding for direct-detected double sideband PAM-4 transmission without dispersion compensation

Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing

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