Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Eldeeb, Eslam"'
Autor:
Etiabi, Yaya, Eldeeb, Eslam, Shehab, Mohammad, Njima, Wafa, Alves, Hirley, Alouini, Mohamed-Slim, Amhoud, El Mehdi
Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system leveraging sensor fusion, graph neural networks (GNNs), and meta-lear
Externí odkaz:
http://arxiv.org/abs/2411.17781
This paper introduces the minimum error entropy (MEE) criterion as an advanced information-theoretic loss function tailored for deep learning applications in wireless communications. The MEE criterion leverages higher-order statistical properties, of
Externí odkaz:
http://arxiv.org/abs/2410.07208
Autor:
Eldeeb, Eslam, Alves, Hirley
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 traditional schemes. However, due to its reliance on online interacti
Externí odkaz:
http://arxiv.org/abs/2409.16764
Semantic and goal-oriented (SGO) communication is an emerging technology that only transmits significant information for a given task. Semantic communication encounters many challenges, such as computational complexity at end users, availability of d
Externí odkaz:
http://arxiv.org/abs/2409.12978
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 reduces latency, compresses the data, and is more robust in low SNR sce
Externí odkaz:
http://arxiv.org/abs/2403.12997
Reinforcement learning (RL) has been widely adopted for controlling and optimizing complex engineering systems such as next-generation wireless networks. An important challenge in adopting RL is the need for direct access to the physical environment.
Externí odkaz:
http://arxiv.org/abs/2402.08421
Publikováno v:
IEEE Internet of Things Journal
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 devices and the base station (BS) before communication which causes high Ao
Externí odkaz:
http://arxiv.org/abs/2401.13827
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 robust solution is to deploy a large number of UAVs (UAV swarm) to pro
Externí odkaz:
http://arxiv.org/abs/2309.14757
Autor:
Eldeeb, Eslam, Alves, Hirley
IoT has a significant role in the smart campus. This paper presents a detailed description of the Smart Campus dataset based on LoRaWAN. LoRaWAN is an emerging technology that enables serving hundreds of IoT devices. First, we describe the LoRa netwo
Externí odkaz:
http://arxiv.org/abs/2304.13366
Autor:
Eldeeb, Eslam, Sant'Ana, Jean Michel de Souza, Pérez, Dian Echevarría, Shehab, Mohammad, Mahmood, Nurul Huda, Alves, Hirley
In many emerging Internet of Things (IoT) applications, the freshness of the is an important design criterion. Age of Information (AoI) quantifies the freshness of the received information or status update. This work considers a setup of deployed IoT
Externí odkaz:
http://arxiv.org/abs/2301.03423