16 citations · 19 across the 17 of their papers we have counts for
11 papers · 1 filter
Joint Beamforming and Antenna Placement Optimization in Pinching Antenna Systems with User Mobility: A Deep Reinforcement Learning Approach
Ali Amhaz, Mohamed Elhattab, Chadi Assi +1
Recently, the pinching antenna systems (PASS) have attracted significant attention due to their ability to exploit dynamically reconfigurable pinching points along waveguides for f…
Coordinated Multipoint Transmission in Pinching Antenna Systems
Ali Amhaz, Shreya Khisa, Mohamed Elhattab +2
We study a coordinated multi-point (CoMP) transmission where two base stations (BSs), each supported by a pinching antenna system (PASS), are deployed to jointly serve communicatio…
Joint Uplink and Downlink Resource Allocation and Antenna Activation for Pinching Antenna Systems
Shreya Khisa, Ali Amhaz, Mohamed Elhattab +2
In this paper, we explore a novel joint uplink and downlink framework utilizing a pinching antenna system (PASS). We consider two waveguides, one dedicated to transmission and one…
Meta-Learning-Driven Resource Optimization in Full-Duplex ISAC with Movable Antennas
Ali Amhaz, Shreya Khisa, Mohamed Elhattab +2
This paper investigates a full-duplex (FD) scenario where a base station (BS) equipped with movable antennas (MAs) simultaneously provides communication services to a set of downli…
Enhancing CoMP-RSMA Performance with Movable Antennas: A Meta-Learning Optimization Framework
Ali Amhaz, Shreya Khisa, Mohamed Elhattab +2
This study investigates a downlink rate-splitting multiple access (RSMA) scenario in which multiple base stations (BSs), employing a coordinated multi-point (CoMP) transmission sch…
Gradient-Based Meta Learning for Uplink RSMA with Beyond Diagonal RIS
Shreya Khisa, Ali Amhaz, Mohamed Elhattab +2
Beyond diagonal reconfigurable intelligent surface (BD-RIS) has emerged as an innovative and generalized RIS framework that provides greater flexibility in wave manipulation and en…
Optimizing Multi-User Uplink Cooperative Rate-Splitting Multiple Access: Efficient User Pairing and Resource Allocation
Shreya Khisa, Mohamad Elhattab, Chadi Assi +1
This paper investigates joint user pairing, power and time slot duration allocation in the uplink multiple-input single-output (MISO) multi-user cooperative rate-splitting multiple…
Multi-IRS Aided Mobile Edge Computing for High Reliability and Low Latency Services
Elie El Haber, Mohamed Elhattab, Chadi Assi +2
Although multi-access edge computing (MEC) has allowed for computation offloading at the network edge, weak wireless signals in the radio access network caused by obstacles and hig…
Reconfigurable Intelligent Surface Enabled Vehicular Communication: Joint User Scheduling and Passive Beamforming
Ahmed Al-Hilo, Moataz Samir, Mohamed Elhattab +2
Given its ability to control and manipulate wireless environments, reconfigurable intelligent surface (RIS), also known as intelligent reflecting surface (IRS), has emerged as a ke…
Optimizing Age of Information Through Aerial Reconfigurable Intelligent Surfaces: A Deep Reinforcement Learning Approach
Moataz Samir, Mohamed Elhattab, Chadi Assi +2
We investigate the benefits of integrating unmanned aerial vehicles (UAVs) with reconfigurable intelligent surface (RIS) elements to passively relay information sampled by Internet…
A Low-Complexity Framework for Joint User Pairing and Power Control for Cooperative NOMA in 5G and Beyond Cellular Networks
Phuc Dinh, Mohamed Amine Arfaoui, Sanaa Sharafeddine +2
This paper investigates the performance of cooperative non-orthogonal multiple access (C-NOMA) in a cellular downlink system. The system model consists of a base station (BS) servi…