KEYNOTE SPEAKERS

Deep Learning Based Massive Array Signal Processing in Wireless Communication Systems
Prof. Dr. Na Chen
Nara Institute of Science and Technology, Japan

Abstract
With the development of technologies such as millimeter-wave (mmWave), massive multiple-input multiple-output (mMIMO), and intelligent reflecting surface (IRS) in 5G/6G wireless communication systems, the increasing complexity of the systems has gradually highlighted the advantages of deep learning algorithms. We first introduce the application background of deep learning in the field of wireless communication, and then discuss some recent work conducted by our research group, including channel state information (CSI) reconstruction, mmWave mMIMO beamforming, and joint beamforming for IRS-assisted communication. Finally, we present some future research prospects.

Biography
Na Chen received her PhD degree in 2017 and B.S. degree in 2011 from Beijing University of Posts and Telecommunications, China. She was a visiting scholar with University of Texas at Arlington, USA, from Sept. 2015 to Sept. 2016. She is currently with Nara Institute of Science and Technology, Japan, as an assistant professor. She has been an IEEE member since 2013, and IEICE member since 2018. She serves as a committee member of IEICE Technical Committee on Wideband System. Her research interest includes intelligent signal processing, massive multiple-input multiple-output system, intelligent reflecting surface, and radio over fiber.