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

• Published in: arXiv.org
• Main Authors: Shehab, Muhammad, Almohamad, Abdullateef, Elsayed, Mohamed, Badawy, Ahmed, Khattab, Tamer, Zorba, Nizar, Hasna, Mazen, Trinchero, Daniele
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 16.03.2023
• Subjects: Correlation; Deep learning; Exact solutions; Mathematical analysis; Maximization; Multiple access; Optimization; Topology; Upper bounds

We investigate THz communication uplink multiple access using cascaded intelligent reflecting surfaces (IRSs) assuming correlated channels. Two independent objectives to be achieved via adjusting the phases of the cascaded IRSs: 1) maximizing the received rate of a desired user under interference fr...