Spectrum-learning-aided reconfigurable intelligent surfaces for 'Green' 6G networks

• Main Authors: Yang, Bo, Cao, Xuelin, Huang, Chongwen, Guan, Yong Liang, Yuen, Chau, Di Renzo, Marco, Niyato, Dusit, Debbah, Mérouane, Hanzo, Lajos
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Engineering::Electrical and electronic engineering; Queueing Networks; Excessive Energy
• Online Access: https://hdl.handle.net/10356/162700
• Institution: Nanyang Technological University

In the sixth generation (6G) era, emerging large-scale computing-based applications (e.g., processing enormous amounts of images in real time in autonomous driving) tend to lead to excessive energy consumption for end users, whose devices are usually energy-constrained. In this context, energy effic...