KEYWORDS: Signal processing, Digital signal processing, Dispersion, Machine learning, Signal detection, Tunable filters, Passive optical networks, Optical transmission, Optical signal processing, Channel projecting optics
We propose a dual-task, all-optical processor controlled by a Machine Learning-based digital optimizer. This innovative system compensates for signal impairments in Intensity Modulation/Direct Detection (IM/DD) and mitigates bandwidth limitations, reducing the need for power-hungry Digital Signal Processing (DSP). The synergy between the optical processor and digital optimizer, operating with the Tree-structured Parzen Estimator algorithm, forms a photonic Reservoir Computing approach that enhances signal performance and reach. This versatile system can function as an all-optical equalizer and chromatic dispersion compensation filter, outperforming traditional electrical counterparts. The proposed scheme, offers a cost-effective and efficient solution for next-generation access networks.
Modern IoT and 5G applications are driving the growth of Internet traffic and impose stringent requirements to datacenter operators for keeping pace with the increasing bandwidth and low-latency demands. At the same time, datacenters suffer from increasing number of interconnections dictating the deployment of novel architectures and high-radix switches. The ratification of 400 GbE standard is driving the market of optical transceivers nevertheless, a technology upgrade will be soon necessary to meet the tremendous traffic growth. In this paper, we present the development of 800 Gb/s and 1Tb/s optical transceivers migrating to 100 Gbaud per lane and employing wafer-scale bonding of InP membranes and InP-DHBT electronics as well as advanced co-packaging schemes. The InP membrane platform is also exploited for the development of novel ultra-fast optical space switches based on a modular architecture design for scaling to large number of I/O ports.
The ever-increasing demands in traffic fueled by bandwidth hungry applications are pushing data centers to their limits challenging the capacity and scalability of currently established transceiver and switching technologies in data center interconnection (DCI) networks. Coherent optics emerged as a promising solution for inter-DCIs offering unprecedented capacities closer to data centers and relaxing the power budget restrictions of the link. QAMeleon, an EU funded R and D project, is developing a new generation of faster and greener sliceable bandwidth-variable electro-optical transceivers and WSS switches able to handle up to 128 Gbaud optical signals carrying flexible M-QAM constellations and novel modulation techniques. A summary of the progress on the QAMeleon transponder and Reconfigurable Optical Add/Drop Multiplexer (ROADM) concepts is presented in this paper.
We demonstrate the hybrid integration of a multi-format tunable transmitter and a coherent optical receiver based on optical polymers and InP electronics and photonics for next generation metro and core optical networks. The transmitter comprises an array of two InP Mach-Zehnder modulators (MZMs) with 42 GHz bandwidth and two passive PolyBoards at the back- and front-end of the device. The back-end PolyBoard integrates an InP gain chip, a Bragg grating and a phase section on the polymer substrate capable of 22 nm wavelength tunability inside the C-band and optical waveguides that guide the light to the inputs of the two InP MZMs. The front-end PolyBoard provides the optical waveguides for combing the In-phase and Quadrature-phase modulated signals via an integrated thermo-optic phase shifter for applying the pi/2 phase-shift at the lower arm and a 3-dB optical coupler at the output. Two InP-double heterojunction bipolar transistor (InP-DHBT) 3-bit power digital-to-analog converters (DACs) are hybridly integrated at either side of the MZM array chip in order to drive the IQ transmitter with QPSK, 16-QAM and 64-QAM encoded signals. The coherent receiver is based on the other side on a PolyBoard, which integrates an InP gain chip and a monolithic Bragg grating for the formation of the local oscillator laser, and a monolithic 90° optical hybrid. This PolyBoard is further integrated with a 4-fold InP photodiode array chip with more than 80 GHz bandwidth and two high-speed InP-DHBT transimpedance amplifiers (TIAs) with automatic gain control. The transmitter and the receiver have been experimentally evaluated at 25Gbaud over 100 km for mQAM modulation showing bit-error-rate (BER) performance performance below FEC limit.
Semiconductor optical amplifiers (SOAs) are a well-established solution of optical access networks. They could prove an
enabling technology for DataCom by offering extended range of active optical functionalities. However, in such costand
energy-critical applications, high-integration densities increase the operational temperatures and require powerhungry
external cooling. Taking a step further towards improving the cost and energy effectiveness of active optical
components, we report on the development of a GaInNAs/GaAs (dilute nitride) SOA operating at 1.3μm that exhibits a
gain value of 28 dB and combined with excellent temperature stability owing to the large conduction band offset
between GaInNAs quantum well and GaAs barrier. Moreover, the characterization results reveal almost no gain
variation around the 1320 nm region for a temperature range from 20° to 50° C. The gain recovery time attained values as short as 100 ps, allowing implementation of various signal processing functionalities at 10 Gb/s. The combined
parameters are very attractive for application in photonic integrated circuits requiring uncooled operation and thus
minimizing power consumption. Moreover, as a result of the insensitivity to heating issues, a higher number of active
elements can be integrated on chip-scale circuitry, allowing for higher integration densities and more complex optical
on-chip functions. Such component could prove essential for next generation DataCom networks.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.