Kaidi Xu is a PhD student in the Department of Electrical and Electronic Engineering at Imperial College London under the supervision of Prof. Geoffrey Ye Li in the Communications and Signal Processing Group since July 2021.
Kaidi Xu received the B.S. degree in 2018 in information and communication engineering and the M.S. degree in 2021 in Information and Communication Engineering from Zhejiang University, Hangzhou, China.
His research interests include multiple agent reinforcement learning for wireless communications, algorithm design and analysis for millimeter-wave cellular communications and physical layer security.
et al., 2021, Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications With Power Splitting, IEEE Transactions on Communications, Vol:69, ISSN:0090-6778, Pages:1896-1911
et al., 2021, Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems, IEEE Transactions on Wireless Communications, Vol:20, ISSN:1536-1276, Pages:1394-1410
et al., 2020, Two-Timescale Hybrid Analog-Digital Beamforming for mmWave Full-Duplex MIMO Multiple-Relay Aided Systems, IEEE Journal on Selected Areas in Communications, Vol:38, ISSN:0733-8716, Pages:2086-2103