activity
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

collaborators

20 papers

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-…

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

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…

cs.IT2025

The Generalized Chernoff-Stein Lemma, Applications and Examples

Jihad Fahs, Ibrahim Abou Faycal, Ibrahim Issa

In this manuscript we define the notion of "-typicality" for both entropy and relative entropy, as well as a notion of -goodness and provide an extension to Stein's lemma for…

cs.IT2024

A Framework for Robust Lossy Compression of Heavy-Tailed Sources

Karim Ezzeddine, Jihad Fahs, Ibrahim Abou-Faycal

We study the rate-distortion problem for both scalar and vector memoryless heavy-tailed -stable sources (). Using a recently defined notion of ``strength" as a power m…

cs.IT2024★ 3 cited

Testing the Isotropic Cauchy Hypothesis

Jihad Fahs, Ibrahim Abou-Faycal, Ibrahim Issa

Isotropic -stable distributions are central in the theory of heavy-tailed distributions and play a role similar to that of the Gaussian density among finite second-moment laws.…

cs.IT2017

Capacity-Achieving Input Distribution in Per-Sample Zero-Dispersion Model of Optical Fiber

Jihad Fahs, Aslan Tchamkerten, Mansoor I. Yousefi

The per-sample zero-dispersion channel model of the optical fiber is considered. It is shown that capacity is uniquely achieved by an input probability distribution that has contin…

cs.IT2016

Information Measures, Inequalities and Performance Bounds for Parameter Estimation in Impulsive Noise Environments

Jihad Fahs, Ibrahim Abou-Faycal

Recent studies found that many channels are affected by additive noise that is impulsive in nature and is best explained by heavy-tailed symmetric alpha-stable distributions. Deali…

cs.IT2016

Sufficient Conditions for Existence of

Jihad Fahs, Ibrahim Abou-Faycal

In his technical report~\cite[sec. 6]{barrontech}, Barron states that the de Bruijn's identity for Gaussian perturbations holds for any RV having a finite variance. In this report,…

cs.IT2016★ 31 cited

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

Jihad Fahs, Ibrahim Abou-Faycal

We study the classical problem of characterizing the channel capacity and its achieving distribution in a generic fashion. We derive a simple relation between three parameters: the…

cs.IT2015★ 14 cited

On the Finiteness of the Capacity of Continuous Channels

Jihad Fahs, Ibrahim Abou-Faycal

Evaluating the channel capacity is one of many key problems in information theory. In this work we derive rather-mild sufficient conditions under which the capacity is finite and a…

cs.IT2014★ 1 cited

Statistical Intercell Interference Modeling for Capacity-Coverage Tradeoff Analysis in Downlink Cellular Networks

Naeem Akl, Jihad Fahs, Zaher Dawy

Interference shapes the interplay between capacity and coverage in cellular networks. However, interference is non-deterministic and depends on various system and channel parameter…