Browsing by Author "Abdellatif, Alaa Awad"
Now showing items 1-12 of 12
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Compress or Interfere?
Abdellatif, Alaa Awad; Samara, Lutfi; Mohamed, Amr; Al-Ali, Abdulla; Erbad, Aiman; Guizani, Mohsen... more authors ... less authors ( IEEE Computer Society , 2019 , Conference Paper)Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without ... -
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
Said, A.; Said, Ahmed Ben; Al-Sa'D, Mohamed Fathi; Tlili, Mounira; Abdellatif, Alaa Awad; Mohamed, Amr; Elfouly, Tarek; Harras, Khaled; O'Connor, Mark Dennis... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
Chkirbene, Zina; Abdellatif, Alaa Awad; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen ( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
Distributed Multi-Objective Resource Optimization for Mobile-Health Systems
Abdellatif, Alaa Awad; Mohamed, Amr ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data. M-health systems provide the ... -
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks
Abdellatif, Alaa Awad; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)5G networks are designed not only to transport data, but also to process them while supporting a vast number of services with different key Performance Indicators (KPIs). Network virtualization has emerged to enable this ... -
Federated Learning for UAV Swarms under Class Imbalance and Power Consumption Constraints
Mrad, Ilyes; Samara, Lutfi; Abdellatif, Alaa Awad; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman... more authors ... less authors ( IEEE , 2021 , Conference Paper)The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ... -
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
Allahham, Mhd Saria; Abdellatif, Alaa Awad; Mhaisen, Naram; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ... -
Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture
Makhlouf, Ahmed; Abdellatif, Alaa Awad; Badawy, Ahmed; Mohamed, Amr ( IEEE Computer Society , 2023 , Conference Paper)In the era of 5G and beyond, telecommunication networks tend to move Radio Access Network (RAN) from centralized architecture to a more distributed architecture for greater interoperability and flexibility. Open RAN (O-RAN) ... -
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
Dawoud, Heba D.M.; Allahham, Mhd Saria; Abdellatif, Alaa Awad; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ... -
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Baccour, Emna; Mhaisen, Naram; Abdellatif, Alaa Awad; Erbad, Aiman; Mohamed, Amr; Hamdi, Mounir; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ... -
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning
Saadat, Hassan; Allahham, Mhd Saria; Abdellatif, Alaa Awad; Erbad, Aiman; Mohamed, Amr (2022 , Conference Paper)The extremely heavy global reliance on IoT devices is causing enormous amounts of data to be gathered and shared in IoT networks. Such data need to efficiently be used in training and deploying of powerful artificially ... -
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT
Abo-Eleneen, Amr; Abdellatif, Alaa Awad; Mohamed, Amr; Erbad, Aiman ( IEEE , 2022 , Conference Paper)With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such requirements demand fast-acting ...