Dr. Shuaishuai Guo (S’14-M’17) received the B.E and Ph.D. degrees in communication and information systems from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2011 and 2017, respectively. He visited the University of Tennessee at Chattanooga (UTC), USA, from 2016 to 2017. Now, he is working as a postdoctoral research fellow at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, since 2017. His research interests include multiple-input multiple-output communications, optical wireless communications, passive intelligent mirror-assisted localization and communications, etc. He has published more than 20 IEEE journal and conference papers on these topics.
Passive Intelligent Mirror-Assisted Localization for Random Blockage-Limited Urban Cellular Networks
Location-aware applications are one of the highly demanding applications that encourage the development of the sixth generation (6G) cellular networks. However, random blockage in urban environments resists the signal transmission over the direct link to locating users. Therefore, we propose a passive-intelligent-mirror (PIM)-assisted localization approach such that a user can find its position in the presence of obstructions. The use of PIM is a crucial component to enable communication and localization in future 6G cellular networks. In the proposed positioning system, the blocked base station (BS) sends the directional signal to the PIM, which arrives at the user side after reflection. The user relies on either the time of arrival (ToA) or the received signal strength (RSS) to estimate the path length. The use of PIM assists in reducing the blockage area for the user to localize itself in 6G cellular networks.