Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

• Main Authors: Tan, Yi Ji, Zhu, Changyan, Tan, Thomas CaiWei, Kumar, Abhishek, Wong, Liang Jie, Chong, Yidong, Singh, Ranjan
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Physics; Deep Reinforcement Learning; Terahertz Beamforming; Terahertz Time-Domain Spectroscopy
• Online Access: https://hdl.handle.net/10356/161695
• Institution: Nanyang Technological University

Exponential growth in data rate demands has driven efforts to develop novel beamforming techniques for realizing massive multiple-input and multiple-output (MIMO) systems in sixth-generation (6G) terabits per second wireless communications. Existing beamforming techniques rely on conventional optimi...