Prof. Qimin Yang
Zhejiang University, China
Title: Applications of Eigenvalues and Eigenvectors in Data Mining
Abstract: Wind energy has been considered to be a promising alternative to current fossil-based energies. Large-scale wind turbines have been widely deployed to substantiate the renewable energy strategy of various countries. In this talk, challenges faced by the control community for highly reliable and efficient exploitation of wind energy are discussed. Advanced controllers are designed to (partially) overcome problems, such as uncertainty, intermittence, and intense dynamics. Theoretical results and attempts for practice are both presents.
Experience: Qinmin Yang received the Bachelor's degree in Electrical Engineering from the Civil Aviation University of China, Tianjin, China in 2001, the Master of Science Degree in Control Science and Engineering from the Institute of Automation, Chinese Academy of Sciences, Beijing, China in 2004, and the Ph.D. degree in Electrical Engineering from the University of Missouri-Rolla, MO USA, in 2007. From 2007 to 2008, he was a Post-doctoral Research Associate at the University of Missouri-Rolla. From 2008 to 2009, he was a system engineer with Caterpillar Inc. From 2009 to 2010, he was a Post-doctoral Research Associate at the University of Connecticut. Since 2010, he has been with the State Key Laboratory of Industrial Control Technology, the College of Control Science and Engineering, Zhejiang University, China, where he is currently a professor. He has also held visiting positions at the University of Toronto and Lehigh University.
Prof. Cunhua Pan (H Index: 40)
Southeast University, China
Title: Twotimescale Transmission Design for RIS-aided Massive MIMO Systems
Abstract: Massive multiple-input multiple-output (MIMO) technology is an essential technique to provide extremely high network throughput in current and future communication systems. However, to achieve such high throughput, hundreds of antennas should be equipped at the base station (BS), which raises the issues of high cost and energy consumption. On the other hand, reconfigurable intelligent surface (RIS), also known as intelligent reflecting surface (IRS), has been proposed as a revolutionary technology to support high data rates while maintaining a low cost and energy consumption. In this talk, I will introduce the RIS-aided massive MIMO systems with Rician fading for both users-RIS and RIS-BS channels. I will present the closed-form approximate achievable rate expressions, and then provide a comprehensive analysis of the interplay between the RIS and the conventional massive MIMO systems, including the power scaling laws, the asymptotic achievable rate, and the impact of critical systems parameters. I also present an optimization method to use statistical CSI to optimize the RIS phase shifts for both the sum user rate maximization and minimum user rate maximization problems. Extensive simulations are provided to characterize the gains by integrating RIS into massive MIMO networks.
Experience: Cunhua Pan received B.S. and Ph.D. degrees from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2010 and 2015, respectively. From 2015 to 2016, he was a Research Associate at the University of Kent, U.K. He held a post-doctoral position at Queen Mary University of London, U.K., from 2016 and 2019. From 2019 to 2021, he was a Lecturer at the same university. From 2021, he is a full professor at Southeast University.
Research field: signal processing in wireless communication, including transmission design, channel estimation, and positioning, synaesthesia integration, AI-assisted communication, etc.
2023 4th International Conference on Computer Communication and Network Security http://www.icccns.org/ https://v1.cnzz.com/z_stat.php%3Fid%3D1281185905%26show%3Dpic1'