79 citations · 280 across the 24 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…