Browsing by Author "Abdellatif, Alaa Awad"
Now showing items 1-8 of 8
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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, ... -
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 ... -
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 ...