3 citations · 4 across the 14 of their papers we have counts for
8 papers · 1 filter
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.…
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.…
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…
Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System
Yueqing Wang, Yikun Mei, Zhen Gao +4
The spatial diversity and multiplexing advantages of massive multi-input-multi-output (mMIMO) can significantly improve the capacity of massive non-orthogonal multiple access (NOMA…
Electromagnetic Channel Modeling and Capacity Analysis for HMIMO Communications
Li Wei, Shuai S. A. Yuan, Chongwen Huang +6
Advancements in emerging technologies, e.g., reconfigurable intelligent surfaces and holographic MIMO (HMIMO), facilitate unprecedented manipulation of electromagnetic (EM) waves,…