Muhammad Jamal Shehab

According to our database, Muhammad Jamal Shehab authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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

IEEE Open J. Commun. Soc., 2024

2023

DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System.

Muhammad Jamal Shehab, Ahmed Badawy, Mohamed Elsayed, Tamer Khattab, Daniele Trinchero

Proceedings of the International Wireless Communications and Mobile Computing, 2023

2022

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA.

Muhammad Jamal Shehab, Bekir Sait Ciftler, Tamer Khattab, Mohamed M. Abdallah, Daniele Trinchero

IEEE Open J. Commun. Soc., 2022

5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives.

Muhammad Jamal Shehab, Ihab Kassem, Adeeb A. Kutty, Murat Kucukvar, Nuri Onat, Tamer Khattab

IEEE Access, 2022

2021

Hybrid Learning Aided Technology-Rich Instructional Tools - A Case Study: Community College of Qatar.

Muhammad Jamal Shehab, Mosa Alokla, Mais Alkhateeb, Mohammad Alokla

CoRR, 2021