3D beamforming based on deep learning for secure communication in 5G and beyond wireless networks

• Main Authors: Yang, Helin, Lam, Kwok-Yan, Nie, Jiangtian, Zhao, Jun, Garg, Sahil, Xiao, Liang, Xiong, Zehui, Guizani, Mohsen
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Computer science and engineering; 3D Beamforming; Physical Layer Security
• 在線閱讀: https://hdl.handle.net/10356/157422
• 機構: Nanyang Technological University

Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges of nonconvex optimization problem and imperfect channel state information (CSI...