activity
20162026
most citedWhite Paper on Broadband Connectivity in 6G

291 citations · 679 across the 37 of their papers we have counts for

collaborators

45 papers

cs.IT2026

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

Simon Tarboush, Pinjun Zheng, Hadi Sarieddeen +2

Accurate channel modeling and estimation of active reconfigurable intelligent surface (RIS)-assisted links with densely integrated elements are essential to fully unleashing this t…

cs.IT2026

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

Simon Tarboush, Nour Kouzayha, Hadi Sarieddeen +2

Signal processing techniques for wireless communications and sensing fundamentally differ between near-field and far-field propagation regimes. Accurately identifying the applicabl…

eess.SP2026

Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication

Karim Abdallah, Maria Slim, Mariette Awad +1

Semantic image communication seeks to preserve task-relevant scene structure under limited channel resources, but carriers are often dense latent tensors or grid-aligned semantic l…

eess.SP2026

Krum-Inspired Central Teacher Selection and Residual Channel Bottlenecks for Efficient DeepSC

Rami Eid, Mostafa Jammoul, Omar Kaaki +3

Deploying transformer-based semantic communication models on edge devices requires compression that preserves semantic fidelity under channel variability. We study a compressed dee…

eess.SP2026

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

Rami Eid, Maria Slim, Mariette Awad +1

Deep joint source-channel coding (DeepJSCC) transmits learned semantic features efficiently but can leak sensitive attributes such as gender, race, or speaker identity. We propose…

eess.SP2026

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

Maria Slim, Razane Tajeddine, Mariette Awad +1

Deep learning-based semantic communication (DeepSC), a Transformer-based encoder-decoder, achieves semantic fidelity over noisy channels but remains vulnerable to adversarial pertu…

eess.SP2026

FedGenSC: Federated Generative Semantic Communication with Channel-Aware Adaptation

Rita Abou Fares, Razan Al Kakoun, Maher Nouiehed +1

Integrating generative adversarial networks (GANs) into federated semantic communication (SemCom) is a natural progression, as generative priors can recover semantic fidelity under…

eess.SP2026

Semantic-Aware Sub-Band Allocation for Terahertz Communications

Fatima Ismail, Hadi Sarieddeen, Jihad Fahs

This paper studies semantic-aware sub-band al- location for terahertz (THz) communication systems, where frequency-selective molecular absorption creates highly non- uniform sub-ba…

eess.SP2026

Physically Consistent Channel Modeling and Signal Processing for Reconfigurable Wireless Systems

Ahmad Dkhan, Simon Tarboush, Hadi Sarieddeen +3

Reconfigurable antennas are increasingly integrated into multi-antenna communication systems to exploit large apertures while reducing the hardware complexity, energy consumption,…

cs.CR2026

SignDeepSC: A Semantic Signature-based Approach for Robust Semantic Communication

Khalil Alhaj, Razane Tajeddine, Hadi Sarieddeen

Semantic communication systems such as deep semantic communication (DeepSC) offer high efficiency but are vulnerable to adversarial attacks on their underlying neural networks. We…

eess.SP2026

Hierarchical THz Near-Field Localization with Subarray Processing and Covariance Correction

Ahmad Dkhan, Yazan Dayoub, Jana El Haj +1

Terahertz (THz)-band near-field (NF) localization offers high spatial resolution due to short wavelengths and distance-dependent wavefront curvature in NF multi-antenna systems. Ho…

eess.SP2026

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

Anthony Khairallah, Nour Kouzayha, Tareq Y. Al-Naffouri +1

This paper investigates an unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) architecture that integrates wake-up radio (WuR) and energy harvesting for sustainable dev…

eess.SP2026

Semantic Communications in the THz Band

Fatima Ismail, Hadi Sarieddeen, Jihad Fahs

Semantic and terahertz (THz)-band communications are algorithmic and spectral enablers of future wireless networks. This work investigates deep learning-based semantic communicatio…

eess.SP2026

Symbol Error Analysis of Linear Receivers in Terahertz Channels under Channel-Noise Dependence

Almutasem Bellah Enad, Jihad Fahs, Hadi Sarieddeen +2

This paper develops a comprehensive framework for the performance analysis of linear detectors, namely zero-forcing (ZF) and minimum mean-square error (MMSE), under diverse teraher…

eess.SP2026

On Near-Far-Field Boundaries in Wireless Systems

Alexander Stutz-Tirri, Ahmad Dkhan, Hadi Sarieddeen +1

Near-field (NF) multi-antenna wireless communication and sensing have attracted growing research interest in recent years. A core question in this area is how to determine whether…

eess.SP2025

RIS-Aided Near-Field Channel Estimation under Mutual Coupling and Spatial Correlation

Ahmad Dkhan, Simon Tarboush, Hadi Sarieddeen +1

The integration of reconfigurable intelligent surfaces (RIS) with extremely large multiple-input multiple-output (MIMO) arrays at the base station has emerged as a key enabler for…

eess.SP2025

Performance Analysis of Linear Detection under Noise-Dependent Fast-Fading Channels

Almutasem Bellah Enad, Jihad Fahs, Hadi Sarieddeen +2

This paper presents a performance analysis framework for linear detection in fast-fading channels with possibly correlated channel and noise. The framework is both accurate and ada…

eess.SP2025

Performance Analysis of Data Detection in the THz-Band under Channel-Correlated Noise

Almutasem Bellah Enad, Hadi Sarieddeen, Jihad Fahs +2

We present a comprehensive symbol error rate (SER) analysis framework for link-level terahertz (THz)-band communication systems under linear zero-forcing (ZF) data detection. First…

eess.SP2025

THz-Band Near-Field RIS Channel Modeling for Linear Channel Estimation

Ahmad Dkhan, Simon Tarboush, Hadi Sarieddeen +2

Reconfigurable intelligent surface (RIS)-aided terahertz (THz)-band communications are promising enablers for future wireless networks. However, array densification at high frequen…

eess.SP2025

Diversity Analysis for Terahertz Communication Systems under Small-Scale Fading

Almutasem Bellah Enad, Jihad Fahs, Hakim Jemaa +2

The terahertz (THz) band is a key enabler for future wireless systems, promising ultra-high data rates and dense spatial reuse. However, the reliability of THz links remains a majo…

eess.SP2025

Performance and Complexity Analysis of Terahertz-Band MIMO Detection

Hakim Jemaa, Simon Tarboush, Hadi Sarieddeen +2

Achieving terabit-per-second (Tbps) data rates in terahertz (THz)-band communications requires bridging the complexity gap in baseband transceiver design. This work addresses the s…

eess.SP2024★ 2 cited

Mutual Coupling-Aware Channel Estimation and Beamforming for RIS-Assisted Communications

Pinjun Zheng, Simon Tarboush, Hadi Sarieddeen +1

This work studies the problems of channel estimation and beamforming for active reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) communicatio…

eess.SP2024

Leveraging parallelizability and channel structure in THz-band, Tbps channel-code decoding

Hakim Jemaa, Hadi Sarieddeen, Simon Tarboush +2

As advancements close the gap between current device capabilities and the requirements for terahertz (THz)-band communications, the demand for terabit-per-second (Tbps) circuits is…

eess.SP2024

Performance Analysis of Outdoor THz Links under Mixture Gamma Fading with Misalignment

Hakim Jemaa, Simon Tarboush, Hadi Sarieddeen +2

The precision of link-level theoretical performance analysis for emerging wireless communication paradigms is critical. Recent studies have demonstrated the excellent fitting capab…