Reconfigurable intelligent surface-assisted aerial-terrestrial communications via multi-task learning

• Main Authors: Cao, Xuelin, Yang, Bo, Huang, Chongwen, Yuen, Chau, Renzo, Marco Di, Niyato, Dusit, Han, Zhu
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Reconfigurable Intelligent Surface; Aerial-Terrestrial Communications
• Online Access: https://hdl.handle.net/10356/160442
• Institution: Nanyang Technological University

The aerial-terrestrial communication system constitutes an efficient paradigm for supporting and complementing terrestrial communications. However, the benefits of such a system cannot be fully exploited, especially when the line-of-sight (LoS) transmissions are prone to severe deterioration due to...