activity
20242026
collaborators

12 papers

cs.IT2026

Learning Representative Port Subsets for Efficient Fluid Antenna Systems

Quan Zhou, Ming Zeng

Fluid antenna systems (FASs) provide many candidate ports, but probing all ports for each channel realization incurs substantial online overhead. We study a complementary offline p…

eess.SP2026

Adaptive DOA Estimation With KL-Based Kernel Bandwidth Adaptation Under Impulsive Noise

Mojtaba Hajiabadi, Saeid Pakravan, Ghosheh Abed Hodtani +1

Direction-of-arrival (DOA) estimation can degrade markedly in impulsive noise, where methods relying on Gaussian or second-order statistical assumptions are particularly susceptibl…

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…

eess.SP2026

AI-Empowered Resource Allocation for Wirelessly Powered Pinching-Antenna Systems

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng +2

This paper considers a multi-user system, where the users first harvest energy from the base station and then use the harvested energy to transmit information via non-orthogonal mu…

cs.IT2026

Robust Single- and Multi-Pinching Antenna Systems Under User Location Uncertainty

Hao Feng, Ebrahim Bedeer, Ming Zeng +3

Pinching antenna (PA) systems have recently emerged as a promising architecture for reconfigurable wireless communications by enabling flexible antenna placement along a dielectric…

cs.IT2026

Rotatable Antenna Assisted Mobile Edge Computing

Ji Wang, Hao Chen, Yixuan Li +4

This paper investigates a rotatable antenna (RA) assisted mobile edge computing (MEC) network, where multiple users offload their computation tasks to an edge server equipped with…

eess.SP2026

Fluid Antenna Systems under Channel Uncertainty and Hardware Impairments: Trends, Challenges, and Future Research Directions

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng +3

Fluid antenna systems (FAS) have recently emerged as a promising paradigm for achieving spatially reconfigurable, compact, and energy-efficient wireless communications in beyond fi…

eess.SP2025

Robust Resource Allocation for Over-the-Air Computation Networks with Fluid Antenna Array

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng +3

Fluid antenna (FA) array is envisioned as a promising technology for next-generation communication systems, owing to its ability to dynamically control the antenna locations. In th…

eess.SP2024

Enhanced Over-the-Air Federated Learning Using AI-based Fluid Antenna System

Mohsen Ahmadzadeh, Saeid Pakravan, Ghosheh Abed Hodtani +3

This paper investigates an over-the-air federated learning (OTA-FL) system that employs fluid antennas (FAs) at an access point. The system enhances learning performance by leverag…