Tohru Ishihara

Nagoya University, Japan

A Challenge to Real-time Compensation for QAM Signal Distortion using Optical SVM Classifiers

Abstract

Multilevel modulation formats such as Quadrature Amplitude Modulation (QAM) are widely used in modern wideband communications. QAM waveforms are distorted by various influences during communication. In this talk, we introduce a method to equalize QAM waveform distortions using a Support Vector Machine (SVM) classifier that identifies the received QAM code based on a pre-learned distortion tendency. We first present a digital CMOS implementation of the SVM classifier. We then introduce our challenge to extend it to an optical implementation. It uses optical modulators for analog multiplication and multi-input photodetectors for analog addition. Finally, we will discuss the future potential of the optical SVM classifier.

Biography

Tohru Ishihara received his Dr.Eng. degree in computer science from Kyushu University in 2000. For the next three years, he was a Research Associate in the University of Tokyo. From 2003 to 2005, he was with Fujitsu Laboratories of America as a Research Staff of an Advanced CAD Technology Group. From 2005 to 2011, he was with Kyushu University as an Associate Professor. For the next seven years he was with Kyoto University. In October 2018, he joined Nagoya University where he is currently a Professor in the Department of Computing and Software Systems. His research interests include low-power design methodologies and power management techniques for embedded systems. Dr. Ishihara is a member of the IEEE, ACM, IPSJ and IEICE.

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