activity
20142023
most citedA Simple AoA Estimation Scheme

11 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

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.…

cs.NI2020★ 3 cited

TROPPO LoRa: TROPospheric Personal Observatory using LoRa signals

Marco Zennaro, Ermanno Pietrosemoli, Marco Rainone +3

With the growth of LoRa deployments there are plenty of anecdotal reports of very long wireless links, well beyond the line of sight. Most reports suggest that these links are rela…

cs.IT2014

Secret Key Generation Based on AoA Estimation for Low SNR Conditions

Ahmed Badawy, Tamer Khattab, Tarek Elfouly +3

In the context of physical layer security, a physical layer characteristic is used as a common source of randomness to generate the secret key. Therefore an accurate estimation of…

eess.SY2014★ 11 cited

A Simple AoA Estimation Scheme

Ahmed Badawy, Tamer Khattab, Daniele Trinchero +2

We propose an intuitive, simple and hardware friendly, yet surprisingly novel and efficient, received signal's angle of arrival (AoA) estimation scheme. Our intuitive, two-phases c…