7 papers
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…
Meta-Learning Driven Movable-Antenna-assisted Full-Duplex RSMA for Multi-User Communication: Performance and Optimization
Shreya Khisa, Ali Amhaz, Mohamed Elhattab +2
Full-duplex (FD) radios at base station (BS) have gained significant interest because of their ability to simultaneously transmit and receive signals on the same frequency band. Ho…
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…