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

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

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...

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Bibliographic Details
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: Journal 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

Internet

https://hdl.handle.net/10356/162700

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