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
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; 3D Beamforming; Physical Layer Security
• Online Access: https://hdl.handle.net/10356/157422
• Institution: 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...