11 papers
Two-Layer Reinforcement Learning-Assisted Joint Beamforming and Trajectory Optimization for Multi-UAV Downlink Communications
Ruiqi Wang, Essra M. Ghoura, Omar Alhussein +4
Unmanned aerial vehicles (UAVs) are pivotal for future 6G non-terrestrial networks, yet their high mobility creates a complex coupled optimization problem for beamforming and traje…
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…
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…
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)…
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.…
Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge
Omar Erak, Omar Alhussein, Hatem Abou-Zeid +2
Large-scale transformers are central to modern semantic communication, yet their high computational and communication costs hinder deployment on resource-constrained edge devices.…