6 papers · 1 filter
Meta-Learning Based Radio Frequency Fingerprinting for GNSS Spoofing Detection
Leatile Marata, Juhani Sankari, Eslam Eldeeb +2
The rapid development of technology has led to an increase in the number of devices that rely on position, velocity, and time (PVT) information to perform their functions. As such,…
Offline and Distributional Reinforcement Learning for Wireless Communications
Eslam Eldeeb, Hirley Alves
The rapid growth of heterogeneous and massive wireless connectivity in 6G networks demands intelligent solutions to ensure scalability, reliability, privacy, ultra-low latency, and…
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning
Eslam Eldeeb, Hirley Alves
Reinforcement learning (RL) has been a promising essence in future 5G-beyond and 6G systems. Its main advantage lies in its robust model-free decision-making in complex and large-d…
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
Sankani Sarathchandra, Eslam Eldeeb, Mohammad Shehab +3
Age-of-information (AoI) and transmission power are crucial performance metrics in low energy wireless networks, where information freshness is of paramount importance. This study…
Offline and Distributional Reinforcement Learning for Radio Resource Management
Eslam Eldeeb, Hirley Alves
Reinforcement learning (RL) has proved to have a promising role in future intelligent wireless networks. Online RL has been adopted for radio resource management (RRM), taking over…
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
Eslam Eldeeb, Hirley Alves
Offline multi-agent reinforcement learning (MARL) addresses key limitations of online MARL, such as safety concerns, expensive data collection, extended training intervals, and hig…