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

Shehab, Muhammad; Almohamad, Abdullateef; Elsayed, Mohamed; Badawy, Ahmed; Khattab, Tamer; Zorba, Nizar; Hasna, Mazen; Trinchero, Daniele

doi:10.36227/techrxiv.22296979.v1

Terahertz_Multiple_Access__A_Deep_Reinforcement_Learning_Controlled_Multihop_IRS_Topology.pdf (1.06 MB)

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

preprint

posted on 2023-03-21, 15:47 authored by Muhammad Shehab, Abdullateef AlmohamadAbdullateef Almohamad, Mohamed Elsayed, Ahmed Badawy, Tamer KhattabTamer Khattab, Nizar Zorba, Mazen Hasna, Daniele Trinchero

Manuscript on using Reinforcement Learning to control the phases of cascaded intelligent reflective surfaces to maximize received rate of multiple access Terahertz communication.