6 papers · 1 filter
FlowSem: Flow Matching for Adaptive Wireless Image Transmission in Semantic Communication
Arnab Emon, Eslam Eldeeb
Wireless image transmission becomes challenging under poor channel conditions and stringent bandwidth constraints, as the receiver needs to preserve both pixel-level fidelity and m…
Structural Leakage in Graph Encryption: Attacks and Defenses
Hua Shen, Renzhi Chen, Ge Wu +3
Graph encryption schemes (GES) enable secure outsourcing of graph data while supporting efficient queries. This report provides a comprehensive analysis of structural leakage in GE…
Diffusion Offline Reinforcement Learning for Fair and Energy-Efficient UAV-Assisted Wireless Networks
Eslam Eldeeb, Hirley Alves
The integration of generative artificial intelligence with wireless communication and signal processing systems has opened new avenues for intelligent, data-driven decision-making…
A Novel Reinforcement Learning Based Framework for Scalable MIMO Interference Alignment
Samitha Gunarathne, Eslam Eldeeb, Nurul Huda Mahmood +1
Interference alignment (IA) is a widely recognized approach for mitigating inter-cell interference in multi-user multiple-input multiple-output (MIMO) networks. Despite its effecti…
Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making
Eslam Eldeeb, Hirley Alves
Mission critical applications, such as UAV-assisted IoT networks require risk-aware decision-making under dynamic topologies and uncertain channels. We propose meta-conservative qu…
Offline Multi-Agent Reinforcement Learning for 6G Communications: Fundamentals, Applications and Future Directions
Eslam Eldeeb, Hirley Alves
The next-generation wireless technologies, including beyond 5G and 6G networks, are paving the way for transformative applications such as vehicle platooning, smart cities, and rem…