39 citations · 164 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
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…
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
Eslam Eldeeb, Mohammad Shehab, Hirley Alves
The age of information (AoI) is used to measure the freshness of the data. In IoT networks, the traditional resource management schemes rely on a message exchange between the devic…
Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach
Eslam Eldeeb, Mohammad Shehab, Hirley Alves
In many massive IoT communication scenarios, the IoT devices require coverage from dynamic units that can move close to the IoT devices and reduce the uplink energy consumption. A…