Energy Efficiency in Optical Networks

Kilper, Daniel C.

doi:10.1007/978-3-030-16250-4_19

Cited by 3 publications

(1 citation statement)

References 135 publications

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“…The most important for short-reach applications is a significant reduction in power consumption, which for the present PNN accounts for 70 mW, to be compared with the typical >1 W for DSP (Table 19.1 in Ref. [23]). Thus, simplified DSPs (e. g., less power hungry) will be required to achieve the same BER over longer distances without reducing the carrier frequency.…”

Section: Discussionmentioning

confidence: 91%

Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network

Staffoli¹,

Mancinelli²,

Bettotti³

et al. 2023

Photon. Res.

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A small 4-channel time-delayed complex perceptron is used as a silicon photonic neural network (PNN) device to compensate for chromatic dispersion in optical fiber links. The PNN device is experimentally tested with non-return-to-zero optical signals at 10 Gbps after propagation through up to 125 km optical fiber link. During the learning phase, a separation-loss function is optimized in order to maximally separate the transmitted levels of 0s from the 1s, which implies an optimization of the bit-error-rate. Testing of the PNN device shows that the excess losses introduced by the PNN device are compensated by the gain in the transmitted signal equalization for a link longer than 100 km. The measured data are reproduced by a model that accounts for the optical link and the PNN device. This allows simulating the network performances for higher data rates, where the device shows improvement with respect to the benchmark both in terms of performance and ease of use.

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Section: Discussionmentioning

confidence: 91%

Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network

Staffoli¹,

Mancinelli²,

Bettotti³

et al. 2023

Photon. Res.

View full text Add to dashboard Cite

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DSP-enhanced radio-over-fiber technologies for 5G-and-beyond wired-wireless convergence

Zhu

Yoshida

Kanno

et al. 2022

J. Opt. Commun. Netw.

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Wired-wireless convergence is considered one of the most promising concepts for the access networks in the upcoming beyond-5G era, a notable example being the radio-over-fiber (RoF) technology that delivers broadband wireless data from/to the edge cloud to/from the antenna sites seamlessly. For future radio access, the capacity, latency, and fidelity requirements pose great challenges to the RoF schemes. With the advances of field-programmable gate arrays, application specific integrated circuits, and high-speed data converters, in recent years, digital signal processing (DSP) has been able to play an increasingly important role in RoF system/processing. Such an analog-digital coordinated scheme, namely, DSP-enhanced RoF, has merits in flexibility, parallelized processing capability, and robustness. This paper aims to provide comprehensive analysis of three major DSP-enhanced RoF techniques, namely, DSP-based intermediate-frequency over fiber, analog-to-digital compression RoF, and delta-sigma RoF. Besides performance, quantitative and qualitative analysis will be presented on latency, power consumption, and system complexity, attributes that are important in practice. In addition, we will discuss the challenges to and opportunities for future research.

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