Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology

We explore THz communication uplink multi-access with multi-hop Intelligent reflecting surfaces (IRSs) under correlated channels. Our aims are twofold: 1) enhancing the data rate of a desired user while dealing with interference from another user and 2) maximizing the combined data rate. Both tasks...

Full description

Bibliographic Details
Main Authors: Muhammad Shehab, Mohamed Elsayed, Abdullateef Almohamad, Ahmed Badawy, Tamer Khattab, Nizar Zorba, Mazen Hasna, Daniele Trinchero
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Artificial intelligence
multi-access communication
sub-millimeter wave communication
communication system performance
Online Access:https://ieeexplore.ieee.org/document/10413200/

Internet

https://ieeexplore.ieee.org/document/10413200/

Similar Items