collaborators

9 papers

eess.SP2026

Impact of Position Uncertainty on the Secrecy Performance of Pinching Antenna Systems

Saeid Pakravan, Imene Trigui, Wessam Ajib +1

This paper investigates the secrecy performance of pinching-antenna systems (PAS) under practical pinching-position activation uncertainty. By dynamically selecting the radiation p…

eess.SP2026

PASS-Assisted RSMA under Imperfect SIC: Joint Antenna Activation and Resource Allocation

Saeid Pakravan, Imene Trigui, Wessam Ajib +1

The performance of rate-splitting multiple access (RSMA) can be severely affected by imperfect successive interference cancellation (SIC) in practical wireless systems. This paper…

eess.SP2026

Fluid Antenna-Enabled Hybrid NOMA and AirFL Networks Under Imperfect CSI and SIC

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng +2

The integration of communication and computation is essential for next-generation wireless systems, especially in scenarios demanding massive connectivity and ultra-low latency. Ov…

eess.SP2026

Performance Analysis of Fluid Antenna-Assisted Over-the-Air Federated Learning Under Spatially Correlated Fading

Mohsen Ahmadzadeh, Saeid Pakravan, Wessam Ajib +3

Fluid antenna (FA) technology has recently emerged as an effective means of exploiting spatial diversity through position-domain reconfigurability. This paper investigates the inte…

eess.SP2026

Copula-Based Analysis of Fluid Antenna-Assisted Over-the-Air Computation

Saeid Pakravan, Mohsen Ahmadzadeh, Wessam Ajib +2

This letter studies an uplink over-the-air computation (AirComp) framework in which multiple user equipments are equipped with fluid-antenna (FA) arrays and operate over spatially…

eess.SP2026

Robust Resource Allocation in RIS-Assisted Wireless Networks Integrating NOMA and Over-the-Air Federated Learning

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng +4

This paper addresses the critical issue of spectrum scarcity and the need to support diverse services, including communication and learning tasks, by presenting a reconfigurable in…