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20142026
most citedOn Properties of the Support of Capacity-Achieving Distributions for Additive Noise Channel Models with Input Cost Constraints

31 citations · 49 across the 16 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

cs.IT2026

On the Information Bottleneck for Stable Variables

Dongmin Park, Jihad Fahs, Mohamad Assaad

We consider a generalization of the Gaussian information bottleneck problem to jointly stable variables and . Specifically, for , where is stable and independ…

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

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…

cs.MS2026

Density Functions and Random Number Generators of -Stable Distributions

Wael Tabbara, Sharafeddine Sharafeddine, Ahmad El-Hajj +2

Heavy-tailed distributions are increasingly found to better fit empirical data in engineering, finance, physics, network science, and related fields. Among them, -stable distrib…

cs.CR2026

Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels

Anthony Ayli, Khalil Harris, Jihad Fahs +1

Homomorphic encryption (HE) enables privacy-preserving aggregation in federated learning (FL) by allowing the server to operate on encrypted data without decryption. Existing HE-ov…

cs.LG2026

Heavy-Tailed Principal Component Analysis

Mario Sayde, Christopher Khater, Jihad Fahs +1

Principal Component Analysis (PCA) is a cornerstone of dimensionality reduction, yet its classical formulation relies critically on second-order moments and is therefore fragile in…

cs.IT2026

On Linear Estimators for some Stable Vectors

Rayan Chouity, Charbel Hannoun, Jihad Fahs +1

We consider the estimation problem for jointly stable random variables. Under two specific dependency models: a linear transformation of two independent stable variables and a sub-…