75 citations · 122 across the 18 of their papers we have counts for
18 papers
Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation
Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3
Quadratic unconstrained binary optimization (QUBO) has emerged as a powerful framework for medical computing problems. Binary decision variables naturally represent clinical choice…
Topology-Preserving Deep Joint Source-Channel Coding for Semantic Communication
Omar Erak, Omar Alhussein, Fang Fang +1
Many wireless vision applications, such as autonomous driving, require preservation of global structural information rather than only per-pixel fidelity. However, existing Deep joi…
Enhanced Open-Source NWDAF for Event-Driven Analytics in 5G Networks
Henok Daniel, Omar Alhussein, Jie Liang +2
The network data analytics function (NWDAF) has been introduced in the fifth-generation (5G) core standards to enable event-driven analytics and support intelligent network automat…
Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
Mohammad Arif Rasyidi, Omar Alhussein, Sami Muhaidat +1
Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluat…
Hybrid Quantum-Classical Detection for RIS-Assisted SC-FDE via Grover Adaptive Search
Maryam Tariq, Omar Alhussein, Raneem Abdelraheem +3
Wideband and low-latency requirements in sixth-generation (6G) networks demand detectors that approach maximum-likelihood (ML) performance without incurring exponential complexity.…
Hybrid Quantum-Classical Maximum-Likelihood Detection via Grover-based Adaptive Search for RIS-assisted Broadband Wireless Systems
Maryam Tariq, Raneem Abdelrahim, Omar Alhussein +1
The escalating complexity and stringent performance demands of sixth-generation wireless systems necessitate advanced signal processing methods capable of simultaneously achieving…
Max-Min Fairness in Stacked Intelligent Metasurface-Aided Rate Splitting Networks
Abdullah Quran, Shimaa Naser, Maryam Tariq +2
This paper investigates a downlink multiuser multiple-input single-output system that integrates rate-splitting multiple access (RSMA) with a stacked intelligent metasurface (SIM)…
Balancing Subjectivity and Objectivity in Network Selection: A Decision-Making Framework Towards Digital Twins
Brahim Mefgouda, Hanen Idoudi, Mohammad Al-Quraan +4
Selecting the optimal radio access technology (RAT) during vertical handovers (VHO) in heterogeneous wireless networks (HWNs) is critical. Multi-attribute decision-making (MADM) is…
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
Nouf Alabbasi, Omar Erak, Omar Alhussein +3
The telecommunications industry's rapid evolution demands intelligent systems capable of managing complex networks and adapting to emerging technologies. While large language model…
LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
Brahim Mefgouda, Raviha Khan, Omar Alhussein +4
By 2025, the internet of things (IoT) is projected to connect over 75 billion devices globally, fundamentally altering how we interact with our environments in both urban and rural…
Large Language Model-Driven Curriculum Design for Mobile Networks
Omar Erak, Omar Alhussein, Shimaa Naser +3
This study introduces an innovative framework that employs large language models (LLMs) to automate the design and generation of curricula for reinforcement learning (RL). As mobil…
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
Omar Alhussein, Ning Zhang, Sami Muhaidat +1
This paper explores the integration of active machine learning (ML) for 6G networks, an area that remains under-explored yet holds potential. Unlike passive ML systems, active ML c…
Robust Online Composition, Routing and NF Placement for NFV-enabled Services
Omar Alhussein, Weihua Zhuang
Network function virtualization (NFV) fosters innovation in the networking field and reduces the complexity involved in managing modern-day conventional networks. Via NFV, the prov…
A Virtual Network Customization Framework for Multicast Services in NFV-enabled Core Networks
Omar Alhussein, Phu Thinh Do, Qiang Ye +7
The paradigm of network function virtualization (NFV) with the support of software defined networking (SDN) emerges as a promising approach for customizing network services in fift…
Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions
Ning Zhang, Shan Zhang, Peng Yang +3
This article proposes a software defined space-air-ground integrated network architecture for supporting diverse vehicular services in a seamless, efficient, and cost-effective man…
Performance Analysis of Energy Detection over Mixture Gamma based Fading Channels with Diversity Reception
Omar Alhussein, Ahmed Al Hammadi, Paschalis C. Sofotasios +4
The present paper is devoted to the evaluation of energy detection based spectrum sensing over different multipath fading and shadowing conditions. This is realized by means of a u…
Unified Analysis of Cooperative Spectrum Sensing over Composite and Generalized Fading Channels
Ahmed Al Hammadi, Omar Alhussein, Sami Muhaidat +3
In this paper, we investigate the performance of cooperative spectrum sensing (CSS) with multiple antenna nodes over composite and generalized fading channels. We model the probabi…
Modeling and Analysis of Wireless Channels via the Mixture of Gaussian Distribution
Bassant Selim, Omar Alhussein, Sami Muhaidat +2
Considerable efforts have been devoted to statistical modeling and the characterization of channels in a range of statistical models for fading channels. In this paper, we consider…