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Hadi Sarieddeen

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Preprint Sep 2026

Learning-based near- versus far-field boundaries for ultra-massive MIMO communications

Signal processing techniques for wireless communications and sensing fundamentally differ between near-field and far-field propagation regimes. Accurately identifying the applicable propagation region is therefore essential for enabling efficient beamforming and channel estimation in ultra-massive MIMO (UM-MIMO) system...

Simon Tarboush, Nour Kouzayha, Hadi Sarieddeen et al. · 0 citations
Preprint Sep 2026

Exploiting Mutual Coupling Structure for Channel Estimation of Active RIS-Assisted Links

Accurate channel modeling and estimation of active reconfigurable intelligent surface (RIS)-assisted links with densely integrated elements are essential to fully unleashing this technology's potential. This work adopts a physically consistent model incorporating mutual coupling (MC) effects, modeled via scattering par...

Simon Tarboush, Pin-Jun Zheng, Hadi Sarieddeen et al. · 0 citations
Review Aug 2026

Physically Consistent Channel Modeling and Signal Processing for Reconfigurable Wireless Systems

Reconfigurable antennas are increasingly integrated into multi-antenna communication systems to exploit large apertures while reducing the hardware complexity, energy consumption, and implementation costs of classical massive arrays. Their reconfigurable electromagnetic (EM) properties, including dynamically varying ra...

Ahmad Dkhan, Simon Tarboush, Hadi Sarieddeen et al. · 1 citation
Preprint Sep 2026

Where to Defend? Layer-Wise Adversarial Training for Robust Transformer-Based Semantic Communications

Deep learning-based semantic communication (DeepSC), a Transformer-based encoder-decoder, achieves semantic fidelity over noisy channels but remains vulnerable to adversarial perturbations injected at multiple stages of the pipeline. We present a layer-wise robustness framework that compares fast gradient sign method (...

Maria Slim, Razane Tajeddine, Mariette Awad et al. · 0 citations
#machine learning Preprint Sep 2026

Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication

A segmentation-derived region adjacency graph (RAG) carrier, termed channel-adaptive RAG (CA-RAG), for joint source-channel coding-style image communication, with higher semantic consistency than deep joint source-channel coding and a same-decoder layout baseline, with comparable perceptual quality.

Karim Abdallah, Maria Slim, Mariette Awad et al. · 0 citations
#machine learning Preprint Sep 2026

Privacy-Preserving Deep Joint Source-Channel Coding with In-Loop Concept Erasure

LEAPSC (LEACE-in-the-loop privacy for semantic communication), whose core contribution is the integration of in-loop least-squares concept erasure (LEACE) within a variational information bottleneck (VIB) encoder, improves robustness across channel conditions and over the high-leakage tail of samples.

Rami Eid, Maria Slim, Mariette Awad et al. · 0 citations
#machine learning Preprint Sep 2026

FedGenSC: Federated Generative Semantic Communication with Channel-Aware Adaptation

Integrating generative adversarial networks (GANs) into federated semantic communication (SemCom) is a natural progression, as generative priors can recover semantic fidelity under channel distortion that discriminative decoders cannot. However, naive GAN federation introduces three failure modes that prior work has, t...

Rita Abou Fares, Razan Al Kakoun, Maher Nouiehed et al. · 0 citations
Jul 2026

Analysis of UAV-Enabled IoT Networks With Energy Harvesting and Wake-Up Radio

This letter investigates an uncrewed aerial vehicle (UAV)-enabled Internet of Things (IoT) architecture that integrates wake-up radio (WuR) and energy harvesting for sustainable device operation, and reveals a tradeoff between transmission frequency and energy consumption.

Anthony Khairallah, Nour Kouzayha, Tareq Y. Al-Naffouri et al. · 0 citations

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