activity
20172026
most citedElectrical Load Forecasting Using Edge Computing and Federated Learning

251 citations · 833 across the 65 of their papers we have counts for

collaborators

72 papers

eess.SP2026

User-Target Pairing for NOMA-Enabled ISAC in Low-Altitude Wireless Networks

Irfan Azam, Muddasir Rahim, Soumaya Cherkaoui

This paper presents a non-orthogonal multiple access (NOMA)-enabled integrated sensing and communication (ISAC) framework for low-altitude wireless networks (LAWN), where an aerial…

eess.SP2026

Hierarchical RIS Association for FR3 Space-Air-Ground Integrated Networks

Muddasir Rahim, Irfan Azam, Soumaya Cherkaoui

The growing demand for diverse sixth-generation (6G) applications requires efficient connectivity, seamless service continuity, and extended network coverage. Although terrestrial…

eess.SP2026

RIS-Assisted Reliability Maximization for URLLC in Upper Mid-Band 6G Networks

Muddasir Rahim, Irfan Azam, Soumaya Cherkaoui

In sixth-generation (6G) networks, supporting ultra-reliable low-latency communication (URLLC) services imposes stringent requirements on reliability, latency, and efficient resour…

cs.AI2026

Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks

Remon Polus, Deemah Tashman, Soumaya Cherkaoui

Massive connectivity in next-generation networks demands energy- and spectrum-efficient solutions for large-scale Internet of Things (IoT) deployments. Symbiotic radio (SR) enables…

cs.CR2026

Rouxii: Exploiting Honeypots with Deception-Aware AI Pentesters

Arthur Cordeiro, Alberto Maria Mongardini, Emmanouil Vasilomanolakis

Honeypots are designed to deceive attackers, and recent work shows they can also derail autonomous LLM-based pentesters. These evaluations, however, largely consider attackers unaw…

quant-ph2026

End-to-End Quantum Semantic Communication with Variational Quantum Neural Networks

Melek Krichen, Nikhitha Nunavath, Riccardo Bassoli +2

Quantum-enabled learning is increasingly being explored for future communication and networking applications, including distributed sensing, Internet of Things (IoT), and distribut…

cs.LG2026

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation

Abdallah Aaraba, Alexis Vieloszynski, Remon Polus +2

The broadcast nature of wireless channels exposes radio-frequency (RF) networks to anomalous and malicious transmissions, making anomaly detection a fundamental requirement for sec…

cs.IT2026

Grover-Based PLS: AUD and Beamforming with Artificial Noise in CD-NOMA

Deemah H. Tashman, Soumaya Cherkaoui

Sixth-Generation (6G) networks will require massive connectivity, ultra-low latency, and robust security, making reliable Active User Detection (AUD) essential for interference con…

cs.CR2026

Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1

Internet of Medical Things (IoMT) devices operate under strict resource constraints while handling highly sensitive health data, making security and privacy critical concerns. Fede…

cs.IT2026

X-Band UAV-enabled Integrated Sensing and Communications for Vehicular Networks

Remon Polus, Soumaya Cherkaoui

Uncrewed aerial vehicles (UAVs) are increasingly considered as aerial platforms capable of providing both sensing and communication services, representing a promising paradigm for…

cs.NI2026

Privacy-Aware Agent Collaboration for Dynamic VR Slice Management in 6G SD-RAN

Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmesalawy +2

Ultra-low latency and high throughput are required for Virtual Reality (VR) services in 6G networks, which presents critical challenges for Software-Defined Radio Access Networks (…

cs.NI2026★ 2 cited

DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks

Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmessalawy +2

Virtual Reality (VR) services delivered over 6G networks demand ultra-low latency and high bandwidth to ensure seamless user experiences. This paper presents an intelligent resourc…

cs.LG2026

When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System

Deemah H. Tashman, Soumaya Cherkaoui

Reward-poisoning attacks present a significant risk to learning-based wireless control systems. Given this, we propose a Disagreement-Guided Reward Poisoning (DGRP) adaptive attack…

eess.SP2026

RIS-Assisted Joint Resource Allocation for 6G FR3 IoT Networks

Muddasir Rahim, Irfan Azam, Soumaya Cherkaoui

In sixth-generation (6G) networks, the deployment of large numbers of Internet of Things (IoT) users (IU) necessitates efficient resource utilization and reliable connectivity, mak…

cs.NI2026

Adversarial Attacks in AI-Driven RAN Slicing: SLA Violations and Recovery

Deemah H. Tashman, Soumaya Cherkaoui

Next-generation (NextG) cellular networks are designed to support emerging applications with diverse data rate and latency requirements, such as immersive multimedia services and l…

cs.NI2026★ 5 cited

ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities

Mira Chandra Kirana, Patatchona Keyela, Fatemeh Rostamian +2

As wireless communication systems become more advanced, Open Radio Access Networks (O-RAN) stand out as a notable framework that promotes interoperability and cost-effectiveness. A…

cs.NI2026★ 2 cited

Trustworthy AI-Driven Dynamic Hybrid RIS: Joint Optimization and Reward Poisoning-Resilient Control in Cognitive MISO Networks

Deemah H. Tashman, Soumaya Cherkaoui

Cognitive radio networks (CRNs) are a key mechanism for alleviating spectrum scarcity by enabling secondary users (SUs) to opportunistically access licensed frequency bands without…

cs.LG2026

QuaRK: A Quantum Reservoir Kernel for Time Series Learning

Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad +1

Quantum reservoir computing offers a promising route for time series learning by modelling sequential data via rich quantum dynamics while the only training required happens at the…

eess.SP2026

Reliable IoT Communications in 6G Non-Terrestrial Networks with Dual RIS

Muddasir Rahim, Soumaya Cherkaoui

The increasing demand for Internet of Things (IoT) applications has accelerated the need for robust resource allocation in sixth-generation (6G) networks. In this paper, we propose…

eess.SP2026

Dual-Tier IRS-Assisted Mid-Band 6G Mobile Networks: Robust Beamforming and User Association

Muddasir Rahim, Soumaya Cherkaoui

The rapid growth of Internet of Things (IoT) applications necessitates robust resource allocation in future sixth-generation (6G) networks, particularly at the upper mid-band (7-15…

eess.SY2026★ 1 cited

Priority-Based Bandwidth Allocation in Network Slicing-Enabled Cell-Free Massive MIMO Systems

Manobendu Sarker, Soumaya Cherkaoui

This paper addresses joint admission control and per-user equipment (UE) bandwidth allocation to maximize weighted sum-rate in network slicing-enabled user-centric cell-free (CF) m…

eess.SY2026

Network Slicing Resource Management in Uplink User-Centric Cell-Free Massive MIMO Systems

Manobendu Sarker, Soumaya Cherkaoui

This paper addresses the joint optimization of per-user equipment (UE) bandwidth allocation and UE-access point (AP) association to maximize weighted sum-rate while satisfying hete…

cs.LG2026

QFed: Parameter-Compact Quantum-Classical Federated Learning

Samar Abdelghani, Soumaya Cherkaoui

Organizations and enterprises across domains such as healthcare, finance, and scientific research are increasingly required to extract collective intelligence from distributed, sil…

cs.LG2025

Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detection

Wajdi Hammami, Soumaya Cherkaoui, Jean-Frederic Laprade +2

Anomaly detection in time-series data is a critical challenge with significant implications for network security. Recent quantum machine learning approaches, such as quantum kernel…