Prof. Ming Jiang
Prof. Ming Jiang
Sun Yat-sen University, China
Research Area: Wireless Communication, Optical Wireless Communication
Speech Title：DNN-aided Signal Processing for Underwater Wireless Optical Communication Systems
Abstract
Visible light communication (VLC) has been recently proposed for high-rate data services. Thanks to the prominent advantages of abundant spectrum, zero radio radiation, low cost, etc., it has been considered as a promising technology for 6G wireless systems targeting hot-spot broadband services. Specifically, the application of VLC in the underwater scenarios results in the so-called underwater VLC (UVLC) or underwater wireless optical communication (UWOC) systems. In the underwater environment, the channel conditions are complicated due to various effects of the water waves, such as absorption, scattering and turbulence, which exhibit different statistical properties with diverse water types. Such capricious phenomena make signal processing operations, such as channel estimation (CE) and signal detection (SD), become challenging particularly for high-rate reliable transmissions. To address these challenges, we devise a deep learning (DL) based joint channel classification (CC), CE and SD scheme for UWOC systems. Different from existing systems, where CE is typically an independent and fundamental module, we combine CE with SD by utilizing a new deep neural network (DNN). Furthermore, the proposed scheme exploits the channel characteristics extracted through an offline training powered by a new robust DNN channel classifier (CC), which can identify and classify the water types online to produce optimized estimated combinational weights (ECW) for improving the CE/SD performances under time-varying UWOC channels. Simulation and experimental results demonstrate the superiority of the proposed system in terms of link performances in various UWOC channel environments.
Biography
Ming Jiang received the B.Eng. and M.Eng. degrees in electronic engineering from the South China University of Technology (SCUT), China, and the Ph.D. degree in electronic engineering from the University of Southampton, U.K. He has substantial international and industrial experience with Fortune 500 telecom companies. From 2006 to 2013, he had held key research and development or management positions at Samsung Electronics Research Institute (SERI), U.K.; Nortel Networks' research and development center, China; and the telecom equipment maker New Postcom, China, where he actively participated in numerous collaborative projects across the EU, North America and Asia, contributing to algorithm and system research and standardization, as well as radio access and core network product designs. Since June 2013, he has been a Full Professor and a Ph.D. Supervisor with Sun Yat-sen University, China, where he focuses on both fundamental research and technology transfer, and leads a number of national, provincial and industrial research projects. He has coauthored six books, 90+ articles, 100+ patents and 400+ 3GPP/IEEE standardization contributions. He received several Chinese local council awards in 2011 and 2022, including Innovative Leading Talents, Outstanding Experts, and Top Overseas Scholars.