collaborators

6 papers

cs.CR20244 cited

The impact of mobility, beam sweeping and smart jammers on security vulnerabilities of 5G cells

Ghazal Asemian, Michel Kulhandjian, Mohammadreza Amini +3

The vulnerability of 5G networks to jamming attacks has emerged as a significant concern. This paper contributes in two primary aspects. Firstly, it investigates the effect of a mu…

cs.SD202478 cited

AI-based Drone Assisted Human Rescue in Disaster Environments: Challenges and Opportunities

Narek Papyan, Michel Kulhandjian, Hovannes Kulhandjian +1

In this survey we are focusing on utilizing drone-based systems for the detection of individuals, particularly by identifying human screams and other distress signals. This study h…

cs.CR2024

Bypassing a Reactive Jammer via NOMA-Based Transmissions in Critical Missions

Mohammadreza Amini, Ghazal Asemian, Michel Kulhandjian +3

Wireless networks can be vulnerable to radio jamming attacks. The quality of service under a jamming attack is not guaranteed and the service requirements such as reliability, late…

eess.SP2024

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data

Jinxin Liu, Petar Djukic, Michel Kulhandjian +1

We propose Deep Dict, a deep learning-based lossy time series compressor designed to achieve a high compression ratio while maintaining decompression error within a predefined rang…

cs.IT2022

Low-Density Spreading Design Based on an Algebraic Scheme for NOMA Systems

Goldwyn Millar, Michel Kulhandjian, Ayse Alaca +3

NOMA) technique based on an algebraic design is studied. We propose an improved low-density spreading (LDS) sequence design based on projective geometry. In terms of its bit error…

eess.SP2022

NOMA Computation Over Multi-Access Channels for Multimodal Sensing

Michel Kulhandjian, Gunes Karabulut Kurt, Hovannes Kulhandjian +2

An improved mean squared error (MSE) minimization solution based on eigenvector decomposition approach is conceived for wideband non-orthogonal multiple-access based computation ov…