1 citations · 1 across the 3 of their papers we have counts for
3 papers
Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology
Muhammad Shehab, Abdullateef Almohamad, Mohamed Elsayed +5
We investigate THz communication uplink multiple access using cascaded intelligent reflecting surfaces (IRSs) assuming correlated channels. Two independent objectives to be achieve…
Hybrid Learning Aided Technology-Rich Instructional Tools -- A Case Study: Community College of Qatar
Muhammad Jamal Shehab, Mosa Alokla, Mais Alkhateeb +1
Educational Institutions have an essential role in promoting the teaching and learning process, within universities, colleges, and communities. Due to the recent coronavirus COVID…
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Muhammad Shehab, Bekir S. Ciftler, Tamer Khattab +2
In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario with the aim of maximizing the sum rate of users.…