Amr Abo-eleneen

According to our database, Amr Abo-eleneen authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Toward AI-Native 6G: Unveiling Online Optimization and Deep Reinforcement Learning for Autonomous Network Slicing.

Amr Abo-eleneen, Menna Helmy, Alaa Awad Abdellatif, Mohamed Abdallah, Amr Mohamed, Aiman Erbad

IEEE Internet Things Mag., July, 2026

CIVIC: Cooperative Immersion Via Intelligent Credit-sharing in DRL-Powered Metaverse.

Amr Abo-eleneen, Mohamed M. Abdallah, Aiman Erbad, Amr Salem

CoRR, April, 2026

2024

Learn to Slice, Slice to Learn: Unveiling Online Optimization and Reinforcement Learning for Slicing AI Services.

Amr Abo-eleneen, Menna Helmy, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mohamed M. Abdallah

CoRR, 2024

DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation.

Amr Abo-eleneen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023

The role of Reinforcement Learning in software testing.

Amr Abo-eleneen, Ahammed Palliyali, Cagatay Catal

Inf. Softw. Technol., December, 2023

Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks.

Alaa Awad Abdellatif, Amr Abo-eleneen, Amr Mohamed, Aiman Erbad, Nikhil V. Navkar, Mohsen Guizani

IEEE Trans. Netw. Serv. Manag., June, 2023

2022

RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT.

Amr Abo-eleneen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad

Proceedings of the 2022 Wireless Telecommunications Symposium, 2022

2021

MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems.

Amr Abo-eleneen, Amr Mohamed

Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021