activity
20182022
most citedToward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks

20 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI202220 cited

Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks

Ahmad M. Nagib, Hatem Abou-zeid, Hossam S. Hassanein

Deep reinforcement learning (DRL) algorithms have recently gained wide attention in the wireless networks domain. They are considered promising approaches for solving dynamic radio…

cs.NI20221 cited

QoS-SLA-Aware Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing in Internet of Vehicles

Leila Ismail, Huned Materwala, Hossam S. Hassanein

The Internet of Vehicles over Vehicular Ad-hoc Networks is an emerging technology enabling the development of smart city applications focused on improving traffic safety, traffic e…

cs.DC20204 cited

Returning the Favor: What Wireless Networking Can Offer to AI and Edge Learning

Sameh Sorour, Umair Mohammad, Amr Abutuleb +1

Machine learning (ML) and artificial intelligence (AI) have recently made a significant impact on improving the operations of wireless networks and establishing intelligence at the…

cs.NI2019

Quality of Experience from Cache Hierarchies: Keep your low-bitrate close, and high-bitrate closer

Wenjie Li, Sharief M. A. Oteafy, Marwan Fayed +1

Recent studies into streaming media delivery suggest that performance gains from cache hierarchies such as Information-Centric Networks (ICNs) may be negated by Dynamic Adaptive St…

cs.CY2018

iDriveSense: Dynamic Route Planning Involving Roads Quality Information

Amr S. El-Wakeel, Aboelmagd Noureldin, Hossam S. Hassanein +1

Owing to the expeditious growth in the information and communication technologies, smart cities have raised the expectations in terms of efficient functioning and management. One k…