报告题目（Title）：Joint Communication and Sensing for Cellular and Vehicular Communication Networks（蜂窝移动和车联网网络中的联合通信和感知技术）
报告人（Speaker）：Professor J. Andrew Zhang（张健）
单位（Affiliation）：School of Electrical and Data Engineering/ Global Big Data Technologies Centre Faculty of Engineering and Information Technology
| University of Technology Sydney
Radio science and engineering has been advancing in wireless communication and radar sensing in parallel and with limited intersections over a century. Performing joint communication and sensing (JCAS), however, offers substantial benefits including the potential for shared spectrum and hardware, which is valuable for emerging platforms such as unmanned aerial vehicles and smart cars. Sensing here refers to information retrieval through measuring spatial parameters such as location and moving speed and physical parameters such as shape and hardware characteristics, of static and moving objects using radio signals. Integrating the two functions of communication and sensing into one system can achieve immediate benefits of reduced cost, size, weight, and better spectrum efficiency.
In this talk, we will first have a brief review on the motivation for JCAS and the basic approaches, and then focus on discussing our innovative and pioneering JCAS work in two areas: Perceptive cellular networks, and perceptive point-to-point (P2P) links. For the perceptive cellular networks, we will discuss how to enable the next generation mobile networks, such as 5G, to do radio sensing, using complex multiuser MIMO OFDMA signals. For the perceptive point-to-point links, we will show how to use two (millimetre-wave) phased antenna arrays and multibeam beamforming to achieve JCAS, which can be very useful for simultaneous communication and collision avoidance in smart car applications. The talk will be concluded with a discussion on open research problems.