Spectrum Allocation for Multiuser Terahertz Communication Systems: A Machine Learning Approach

Spectrum Allocation for Multiuser Terahertz Communication Systems: A Machine Learning Approach

In this paper, we propose a novel spectrum allocation design, leveraging machine learning, for multiuser communication systems operating at the terahertz (THz) band. In this design, we propose to (i) change the bandwidth of sub-bands and (ii) underutilize edge spectra of transmission windows (TWs) w...

Full description

Bibliographic Details
Main Authors: Akram Shafie, Nan Yang, Chunhui Li, Xiangyun Zhou, Trung Q. Duong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Terahertz band communication
spectrum allocation
machine learning
unsupervised learning
non-convex optimization
offline training
Online Access:https://ieeexplore.ieee.org/document/10664588/

Internet

https://ieeexplore.ieee.org/document/10664588/

Similar Items