Browsing by Author "Yin, Xin"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item 50 Gb/s DMT and 120 Mb/s LTE signal transmission over 5 km of optical fiber using a silicon photonics transceiver(In Integrated Photonics Research, Silicon and Nanophotonics, 2018) Rahim, Abdul; Abbasi, Amin; Shahin, Mahmoud; Sequeira André, Nuno; Richter, André; Kerrebrouck, Joris Van; Van Gasse, Kasper; Katumba, Andrew; Moeneclaey, Bart; Yin, Xin; Morthier, Geert; Baets, Roel; Roelkens, GuntherNext-generation passive optical networks will require the use of low-cost, high-performance transceivers to cope with the increasing bandwidth demands for emerging applications such as fixed-mobile convergence for 5G. Silicon photonics is widely acknowledged as a technology that can provide manufacturing of low-cost photonic integrated circuits by using existing CMOS fabrication infrastructure. Intensity modulation/direct detection solutions can reach 100 Gb/s per wavelength, but require high-speed electronics and photonics, which adversely affects the cost. An alternative approach is to use advanced multi-carrier modulation schemes, such as Discrete Multi-Tone (DMT), a real-valued Orthogonal Frequency Division Multiplexing (OFDM) scheme. This technique uses Digital Signal Processing (DSP) to relax electrical and optical bandwidth requirements on the transmitter and receiver side. It promises high spectral efficiency and granularity, higher tolerance to fiber impairments and channel adaptation through flexible multi-level / multi-carrier coding [1]. DMT transmission at 100 Gb/s and even 4x100 Gb/s using modest bandwidth (~ 20 GHz) electronic and optical components has already been demonstrated [2-4]. Despite requiring computationally more expensive DSP compared to single carrier baseband schemes (e.g., OOK, PAM), DMT’s added advantage is that it allows transmission of a mobile data signal within its bandwidth using the same optical transceiver [5]. In this work we demonstrate the combined transmission of a Long Term Evolution (LTE) 4G mobile communication signal (at 3.48 GHz carrier frequency) and a 50 Gb/s DMT signal using a directly modulated InP-on-Silicon Distributed Feedback (DFB) laser. Direct modulation is poised to provide low power consumption and a reduced number of optical components in the transceiver. On the receiver side, a silicon-waveguide-coupled germanium photodiode (GeSi-PD) with a co-designed trans-impedance amplifier (TIA) is used and its performance is compared with a commercial III-V photodiode and TIA.Item A Neuromorphic Silicon Photonics Nonlinear Equalizer For Optical Communications With Intensity Modulation and Direct Detection(Journal of Lightwave Technology, 2019) Katumba, Andrew; Yin, Xin; Dambre, Joni; Bienstman, PeterWe present the design and numerical study of a nonlinear equalizer for optical communications based on silicon photonics and reservoir computing. The proposed equalizer leverages the optical information processing capabilities of integrated photonic reservoirs to combat distortions both in metro links of a few hundred kilometers and in high-speed short-reach intensitymodulation- direct-detection links. We show nonlinear compensation in unrepeated metro links of up to 200 km that outperform electrical feedforward equalizers based equalizers, and ultimately any linear compensation device. For a high-speed short-reach 40- Gb/s link based on a distributed feedback laser and an electroabsorptive modulator, and considering a hard decision forward error correction limit of 0.2 × 10−2 ,we can increase the reach by almost 10 km. Our equalizer is compact (only 16 nodes) and operates in the optical domainwithout the need for complex electronicDSP,meaning its performance is not bandwidth constrained. The approach is, therefore, a viable candidate even for equalization techniques far beyond 100G optical communication links.Item Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (invited)(IEEE, 2018) Katumba, Andrew; Yin, Xin; Dambre, Joni; Bienstman, PeterWe present simulations on the brain-inspired paradigm of Photonic Reservoir Computing integrated on a silicon photonics chips as a promising alternative to solve problems like non-linear dispersion compensation in the analogue optical domain, without requiring complicated electric DSP.