Search Results for author: Ali Ghrayeb

Found 10 papers, 1 papers with code

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.

CoMP-Assisted NOMA and Cooperative NOMA in Indoor VLC Cellular Systems

no code implementations5 Aug 2021 Mohamed Amine Arfaoui, Ali Ghrayeb, Chadi Assi, Marwa Qaraqe

In this paper, we investigate the dynamic power allocation for a visible light communication (VLC) cellular system consisting of two coordinating attocells, each equipped with one access-point (AP).

Deep Learning Based Proactive Optimization for Mobile LiFi Systems with Channel Aging

no code implementations21 Apr 2021 Mohamed Amine Arfaoui, Ali Ghrayeb, Chadi Assi, Marwa Qaraqe

In this paper, a proactive-optimization (PO) approach that can alleviate the LiFi channel aging problem is proposed.

Integration of IRS in Indoor VLC Systems: Challenges, Potential and Promising Solutions

no code implementations15 Jan 2021 Mohamed Amine Arfaoui, Ali Ghrayeb, Chadi Assi

Visible light communication (VLC) is an optical wireless communication technology that is considered a promising solution for high-speed indoor connectivity.

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.

A Downlink Puncturing Scheme for Simultaneous Transmission of URLLC and eMBB Traffic by Exploiting Data Similarity

no code implementations27 Dec 2020 Mohammed AL-Mekhlafi, Mohaned Chraiti, Mohamed Amine Arfaoui, Chadi Assi, Ali Ghrayeb, Amira Alloum

Specifically, coupling URLLC and conventional enhanced Mobile BroadBand (eMBB) through superposition/puncturing naturally arises as a promising option due to the tolerance of the latter in terms of latency and reliability.

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)

Invoking Deep Learning for Joint Estimation of Indoor LiFi User Position and Orientation

no code implementations21 Jul 2020 Mohamed Amine Arfaoui, Mohammad Dehghani Soltani, Iman Tavakkolnia, Ali Ghrayeb, Chadi Assi, Majid Safari, Harald Haas

Light-fidelity (LiFi) is a fully-networked bidirectional optical wireless communication (OWC) that is considered a promising solution for high-speed indoor connectivity.

Position

Beamforming Learning for mmWave Communication: Theory and Experimental Validation

no code implementations28 Dec 2019 ohaned Chraiti, Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela, Ali Ghrayeb, Chadi Assi

We demonstrate that the training time required by the proposed scheme is only 5% of that of exhaustive search.

Clustering

UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

1 code implementation IEEE Transactions on Wireless Communications 2019 Moataz Samir, Sanaa Sharafeddine, Chadi M. Assi, Tri Minh Nguyen, Ali Ghrayeb

To this end, we jointly optimize the trajectory of a UAV and the radio resource allocation to maximize the number of served IoT devices, where each device has its own target data upload deadline.

Benchmarking Trajectory Planning

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