Visible Light Communication and Applications in Smart Grids
Date / Time
October 27, 2021 / 12:00-1:00pmLocation
OnlineContact
Brittney Van Der Werff, Public Relations Specialist, NM EPSCoR
bvdw@epscor.unm.edu
Resources
Presenter: Dr. Sihua Shao, Assistant Professor, Assistant Professor, NMT, Electrical Engineering
To support the massive connectivity and diverse energy management of different tier electricity loads, such as smart appliances, IoT sensors, and electric vehicles, etc, relying solely on radio frequency (RF) spectrum may be strained to fulfill the requirements due to the limited bandwidth, the wide interception range, and the hazardous interference to specific environments. Visible light communication (VLC), as a promising and supplementary candidate, utilizes license-free THz spectrum to offload the wireless data traffic, achieves Gb/s data rate with MIMO technology, and operates harmlessly in RF-sensitive environments. To address the uplink and alignment challenges of conventional symmetric VLC configuration, retro-reflective VLC has been considered as an ultra-low-power uplink solution. Incorporating retro-reflective VLC into traditional RF-based wireless networks provides a low-cost and low-complexity out-of-band secure channel.
Bio: Sihua Shao received the B.S. degree in electrical engineering from South China University of Technology in 2011, the M.S. degree in electrical engineering from Hong Kong Polytechnic University in 2012, and the Ph.D. degree in electrical engineering from New Jersey Institute of Technology in 2018. He obtained the Hashimoto Prize for best doctoral dissertation. He is currently an Assistant Professor with the Department of Electrical Engineering at New Mexico Tech. He is also a faculty hire with the New Mexico SMART Grid Center. His research areas involve wireless communication and networking with primary interest in visible light communication and positioning. His current research efforts focus on retro-reflective visible light communication, reinforcement and deep learning in intelligent reflecting surface aided wireless network, and ultra-low-power backscatter communication.