activity
20082022
most citedNetwork Protection Codes Against Link Failures Using Network Coding

23 citations · 59 across the 21 of their papers we have counts for

collaborators

24 papers

eess.IV2022

Blockage Prediction for Mobile UE in RIS-assisted Wireless Networks: A Deep Learning Approach

Shakil Ahmed, Ibrahim Abdelmawla, Ahmed E. Kamal +1

Due to significant blockage conditions in wireless networks, transmitted signals may considerably degrade before reaching the receiver. The reliability of the transmitted signals,…

eess.SY2022★ 1 cited

Enhanced IoT Batteryless D2D Communications Using Reconfigurable Intelligent Surfaces

Shakil Ahmed, Mohamed Y. Selim, Ahmed E. Kamal

Recent research on reconfigurable intelligent surfaces (RIS) suggests that the RIS panel, containing passive elements, enhances channel performance for the internet of things (IoT)…

cs.IT2022

X-haul Outage Compensation in 5G/6G Using Reconfigurable Intelligent Surfaces

Mohamed Y. Selim, Ahmed E. Kamal, Farid Nait-Abdesselam

5G network operators consider the dense deployment of small base-stations (SBSs) to increase network coverage and capacity. Hence, operators face the challenge of X-hauling, i.e.,…

eess.SP2021

Improvement of Bi-directional Communications using Solar Powered Reconfigurable Intelligent Surfaces

Abdullah Almasoud, Mohamed Y. Selim, Ahamd Alsharoa +1

Recently, there has been a flurry of research on the use of Reconfigurable Intelligent Surfaces (RIS) in wireless networks to create dynamic radio environments. In this paper, we i…

cs.NI2020

Physical Wireless Resource Virtualization for Software-Defined Whole-Stack Slicing

Matthias Sander-Frigau, Tianyi Zhang, Hongwei Zhang +2

Radio access network (RAN) virtualization is gaining more and more ground and expected to re-architect the next-generation cellular networks. Existing RAN virtualization studies an…

cs.LG2020

Reinforcement Learning Architectures: SAC, TAC, and ESAC

Ala'eddin Masadeh, Zhengdao Wang, Ahmed E. Kamal

The trend is to implement intelligent agents capable of analyzing available information and utilize it efficiently. This work presents a number of reinforcement learning (RL) archi…