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Muhammad Jamal Shehab

Politecnico di Torino

3 papers hereh-index 4164 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • cs.CY1
affiliations
  • Politecnico di Torino
Homepage

identity via Semantic Scholar / OpenAlex

most citedHybrid Learning Aided Technology-Rich Instructional Tools -- A Case Study: Community College of Qatar

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.ITShow all

2 papers · 1 filter

cs.IT2023

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…

cs.IT2021

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.…

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