Signal Processing in Photonic Communications (SPPCom)

Signal Processing in Photonic Communications (SPPCom)

SPPCom is focused on all aspects of optical and electronic signal processing for photonic communication systems ranging from on-chip communications to ultra-long haul transmission.

Signal processing is required in many types of photonic communication systems and networks - from on-chip data transfer to ultra-long haul transmission. As spectrally efficient modulation formats become more prevalent in these applications, advances in the requisite signal processing for transmitters and receivers are ever more important. This includes techniques for mitigating the effects of transmission impairments and non-ideal components/devices, key transmitter/receiver functions, forward error correction, and enabling technologies. Software defined networks, space division multiplexed systems, Tb/s superchannel systems, and broadband hybrid wireless-optical communication systems are of particular interest.


Yurii Vlasov, IBM Research, USA, Applications of Integrated Photonics Technology - From Optical Interconnects to Neurophotonics, plenary

Norman L. Swenson; ClariPhy, USA, Signal Processing ASICs for Optical Fiber Communications, plenary

Robert Elschner, Fraunhofer Heinrich Hertz Institute, Germany, Data-Aided DSP for Flexible Transceivers, Invited

Dmitri Foursa, TE SubCom, United States, Ultra Long-Haul Transmission with Coded Modulation, Invited

Ying Gao, Queen's University at Kingston, Canada, Perturbation Based Pre-compensation for Intra-channel Fiber Nonlinearities, Invited

Helmut Griesser, ADVA Optical Networking AG, Germany, DSP-enhanced Transmission for 100G+ DWDM Data Center Interconnects, Invited

Koji Igarashi, Osaka University, Japan, Optical Pulse Shaping Technique for Super-Nyquist WDM Transmission, Invited

Toshiaki Koike-Akino, Mitsubishi Electric Research Labs, United States, Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications, Invited

Toshiaki Koike-Akino, Mitsubishi Electric Research Labs, United States, Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications, Invited

Charles Laperle, Ciena Canada, Canada, High-Speed DACs and ADCs for Next Generation Flexible Transceivers, Invited

Alan Pak Tao Lau, Hong Kong Polytechnic University, Hong Kong, Advanced DSP for High Spectral Efficiency and Flexible Optical Communicaitons, Invited

Bruno Lavigne, Alcatel-Lucent France, France, 400Gb/s Real-time Trials on Commercial Systems Using Bit-rate-adaptive Transponders for Next Generation Networks, Invited

Zhaohui Li, Jinan University, China, High Resolution Optical Spectrum Characterization using Optical Signal Processing, Invited

Hadrien Louchet, VPIphotonics, Germany, Link Emulation and Importance Sampling for Performance estimation of DSP-based Transmission Systems, Invited

Ampalavanapilla Nirmalathas, University of Melbourne, Australia, Digitized RF-over-Fiber Systems, Invited

Wei-Ren Peng, KDDI, United States, Effectiveness of Digital Fiber Nonlinearity Mitigations, Invited

Timo Pfau, Alcatel-Lucent Bell Labs, United States, Chromatic Dispersion Estimation and Compensation: From Theory to Requirements and Most Efficient Implementation, Invited

Marco Secondini, Scuola Superiore di Studi Universitarie di Perfezionamento Sant' Anna di Pisa, Italy, Receiver Training for Efficient Nonlinear Equalization and Detection in Optical Communications, Invited

Han Sun, Infinera Corporation, Canada, Clock Recovery for Nyquist-shaped Signals, Invited

Takahito Tanimura, Fujitsu Laboratories Ltd., Japan, LDPC SD-FEC Coding in the Nonlinear Domain, Invited

Roy van Uden, Technische Universiteit Eindhoven, Netherlands, 6x6 MIMO Frequency domain equalization of 28GBaud 128-SP-QAM Few-Mode Fiber Transmission, Invited

Jian Wang, Huazhong Univ of Science and Technology, China, Recent Progress in On-Chip Photonic Signal Processing with Advanced Modulation Formats, Invited

Jinlong Wei, Cambridge University, United Kingdom, Analysis of Complexity and Power Consumption in DSP-based Optical Modulation Formats, Invited

Henk Wymeersch, Chalmers Tekniska Hogskola, Sweden, Stochastic Digital Backpropagation: Unifying Digital Backpropagation and the MAP Criterion, Invited

Darko Zibar, Denmark, Machine Learning Concepts in Optical Communication, Invited

Chair

John Cartledge, Queen's University at Kingston, Canada
Chongjin Xie, Alcatel-Lucent Bell Labs, United States

Program Chair

Sander Jansen, Coriant GmbH & Co. KG, Germany
Changyuan Yu, National University of Singapore, Singapore

Member

Prashant Baveja, Avago Technologies Inc., United States
Andrea Carena, Politecnico di Torino, Italy
Roger Giddings, Bangor University, United Kingdom
Pontus Johannisson, Chalmers University of Technology, Sweden
Maxim Kuschnerov, Coriant GmbH & Co. KG, Germany
Guifang Li, University of Central Florida, United States
Shoichiro Oda, Fujitsu Ltd, Japan
Xingwen Yi, University of Electronics Science & Tech, China
Xiang Zhou, Google, United States
Zuqing Zhu, Univ of Science and Technology of China, China

General Session with Plenary Speakers
Monday, 14 July, 08:30 - 10:00
Monte Carolo & St. Tropez

Applications of Integrated Photonics Technology - From Optical Interconnects to Neurophotonics, Yurii Vlasov; IBM Research, USA
Abstract: The IBM Silicon Nanophotonics technology enables cost-efficient optical links that connect racks, modules, and chips together with ultra-low power single-die optical transceivers. I will give an overview of its historical development, technology differentiators, current status and a roadmap.

Signal Processing ASICs for Optical Fiber Communications,
Norman L. Swenson; ClariPhy, USA
Abstract: Signal processing for optical communications has made tremendous strides in the last decade.  This talk gives an overview on recent progress in this area, focusing on commercially available ASICs and ongoing research to advance the state of the art.

Congress Reception and Exhibit
Monday, 14 July, 18:00 - 19:30
South Poolside

Join your fellow attendees for the Congress Reception. Enjoy delectable fare while networking. The reception is open to committee/presenting author/student and full conference attendees. Conference attendees may purchase extra tickets for their guest.

SPPCom Symposium: Machine Learning Concepts in Optical Communication Systems
Tuesday, 15 July, 10:30 - 12:30
Portofino Room

The goal of this symposium is to bridge the gap between researchers working in the areas of optical communication and machine learning. More specifically, the symposium will address powerful statistical signal processing methods, used by the machine learning community, and link them to current problems in optical communications. 
 
Joint Poster Sessions
Tuesday, 15 July, 13:30 - 15:00
Terrazza Ballroom
Posters are an integral part of the technical program and offer a unique networking opportunity, where presenters can discuss their results one-to-one with interested parties. Each author is provided with a board on which to display the summary and results of his or her paper.

Congress Panel Session & Networking Event
Tuesday, 15 July, 19:00 - 20:30

Machine Learning Concepts in Optical Communication Systems

Organizers: Darko Zibar, Technical University of Denmark, Denmark and  Christian Schäffer, Helmut Schmidt University, Germany

The goal of this symposium is to bridge the gap between researchers working in the areas of optical communication and machine learning. More specifically, the symposium will address powerful statistical signal processing methods, used by the machine learning community, and link them to current problems in optical communications.

Optical communication systems are becoming increasingly complex, especially with the introduction of space division multiplexing, and therefore advanced tools are necessary in order to perform system as well as component characterization, and enable optical communication systems to operate close to channel capacity. Especially, one of the major challenges is nonlinearity associated with the optical channel (fiber) and components.

Techniques from machine learning can be equally well applied to linear and nonlinear dynamical systems as well as to systems with non-additive Gaussian noise, which makes them quite powerful especially for the nonlinear optical fiber communication channel. In general terms, methods from machine learning can be used to learn the impairments from the observed data and built a probabilistic model of the impairment. This knowledge can later be used to either perform impairment compensation or to quantify the amount of distortion coming from components or specific subsystems. Finally, the probabilistic model can be used for synthetic impairment generation which may be very useful for performance analysis and prediction in optical networks.  
 
Invited Speakers:
Darko Zibar, DTU Fotonik, Denmark, Machine Learning Concepts in Optical Communication
Toshiaki Koike-Akino, MERL, USA, Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications
Henk Wymeerch, Chalmers Tekniska Hogskola, Sweden, Beyond Backpropagation: Bayesian Graphical Model Approach to Coherent Optical Receiver Design
Marco Secondini, Scuola Superiore di Studi Universitarie di Perfezionamento Sant'Anna di Pisa, Italy, Receiver Training for Efficient Nonlinear Equalization and Detection in Optical Communications

Topics Categories

  • Spectrally efficient modulation formats and detection schemes
  • Channel equalization and compensation
  • Polarization, clock, carrier, and phase recovery in coherent receivers
  • Channel estimation, distortion identification, and performance monitoring
  • Orthogonal frequency-division multiplexing (OFDM)
  • Nyquist and near-Nyquist signaling
  • Signal processing for space-division multiplexing
  • MIMO algorithms and implementations
  • Forward error correction
  • DAC, ADC and DSP technologies
  • DSP complexity and power consumption
  • All-optical techniques for wavelength conversion and translation, regeneration, correlation, and mitigation of transmission impairments
  • Real-time demonstration of high-speed electronic circuits and subsystems
  • Applications to access, metro, regional, long haul and ultra-long-haul networks
  • Applications to short-reach systems using single- and multi-mode fiber