8 citations · 9 across the 12 of their papers we have counts for
12 papers
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…
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…
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…
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…
MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion
Yaya Etiabi, Eslam Eldeeb, Mohammad Shehab +4
Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system…
An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications
Rumeshika Pallewela, Eslam Eldeeb, Hirley Alves
This paper introduces the minimum error entropy (MEE) criterion as an advanced information-theoretic loss function tailored for deep learning applications in wireless communication…
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
Eslam Eldeeb, Mohammad Shehab, Hirley Alves +1
Semantic and goal-oriented (SGO) communication is an emerging technology that only transmits significant information for a given task. Semantic communication encounters many challe…
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…
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles
Eslam Eldeeb, Mohammad Shehab, Hirley Alves
Task-oriented semantic communication is an emerging technology that transmits only the relevant semantics of a message instead of the whole message to achieve a specific task. It r…
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
Eslam Eldeeb, Houssem Sifaou, Osvaldo Simeone +2
Reinforcement learning (RL) has been widely adopted for controlling and optimizing complex engineering systems such as next-generation wireless networks. An important challenge in…