Search Results for author: Mohamed Elhattab

Found 8 papers, 0 papers with code

Multi-IRS Aided Mobile Edge Computing for High Reliability and Low Latency Services

no code implementations14 Dec 2023 Elie El Haber, Mohamed Elhattab, Chadi Assi, Sanaa Sharafeddine, Kim Khoa Nguyen

Harnessing the IRS's potential in enhancing the performance of edge computation offloading, in this paper, we study the optimized use of a system of multi-IRS along with the design of the offloading (to an edge with multi MECs) and resource allocation parameters for the purpose of minimizing the devices' energy consumption considering 5G services with stringent latency and reliability requirements.

Edge-computing

A Data-Driven Framework for Improving Public EV Charging Infrastructure: Modeling and Forecasting

no code implementations8 Dec 2023 Nassr Al-Dahabreh, Mohammad Ali Sayed, Khaled Sarieddine, Mohamed Elhattab, Maurice Khabbaz, Ribal Atallah, Chadi Assi

This work presents an investigation and assessment framework, which, supported by realistic data, aims at provisioning operators with in-depth insights into the consumer-perceived Quality-of-Experience (QoE) at public Electric Vehicle (EV) charging infrastructures.

Joint Resource Allocation and Phase Shift Optimization for RIS-Aided eMBB/URLLC Traffic Multiplexing

no code implementations5 Aug 2021 Mohammed AL-Mekhlafi, Mohamed Amine Arfaoui, Mohamed Elhattab, Chadi Assi, Ali Ghrayeb

The eMBB allocation problem aims at maximizing the eMBB sum rate by jointly optimizing the power allocation at the BS and the RIS phase-shift matrix while satisfying the eMBB rate constraint.

RIS-Assisted UAV for Timely Data Collection in IoT Networks

no code implementations31 Mar 2021 Ahmed Al-Hilo, Moataz Samir, Mohamed Elhattab, Chadi Assi, Sanaa Sharafeddine

This integrated problem brings challenges related to the configuration of the phase shift elements of the RIS, the scheduling of IoTDs transmissions as well as the trajectory of the UAV.

Decision Making Edge-computing +2

Age of Information Optimization in a RIS-Assisted Wireless Network

no code implementations11 Mar 2021 Ali Muhammad, Mohamed Elhattab, Mohamed Amine Arfaoui, Ahmed Al-Hilo, Chadi Assi

To circumvent the high-coupled optimization variables, and with the aid of bilevel optimization, we decompose the original problem into an outer traffic stream scheduling problem and an inner RIS phase-shift matrix problem.

Bilevel Optimization Edge-computing +1

Reconfigurable Intelligent Surface Enabled Vehicular Communication: Joint User Scheduling and Passive Beamforming

no code implementations28 Jan 2021 Ahmed Al-Hilo, Moataz Samir, Mohamed Elhattab, Chadi Assi, Sanaa Sharafeddine

Therefore, the joint problem of RSU resource scheduling and RIS passive beamforming or phase-shift matrix is formulated as an optimization problem with the objective of maximizing the minimum average bit rate.

Scheduling

Reconfigurable Intelligent Surface Enabled Full-Duplex/Half-Duplex Cooperative Non-Orthogonal Multiple Access

no code implementations5 Jan 2021 Mohamed Elhattab, Mohamed Amine Arfaoui, Chadi Assi, Ali Ghrayeb

For the power allocation sub-problem, the optimal closed-form expressions for the power allocation coefficients are derived.

Optimizing Age of Information Through Aerial Reconfigurable Intelligent Surfaces: A Deep Reinforcement Learning Approach

no code implementations9 Nov 2020 Moataz Samir, Mohamed Elhattab, Chadi Assi, Sanaa Sharafeddine, Ali Ghrayeb

We investigate the benefits of integrating unmanned aerial vehicles (UAVs) with reconfigurable intelligent surface (RIS) elements to passively relay information sampled by Internet of Things devices (IoTDs) to the base station (BS).

Reinforcement Learning (RL)

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