2 citations · 2 across the 7 of their papers we have counts for
7 papers
Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
The open radio access network (O-RAN) architecture supports intelligent network control algorithms as one of its core capabilities. Data-driven applications incorporate such algori…
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
The success of immersive applications such as virtual reality (VR) gaming and metaverse services depends on low latency and reliable connectivity. To provide seamless user experien…
Using Early Exits for Fast Inference in Automatic Modulation Classification
Elsayed Mohammed, Omar Mashaal, Hatem Abou-Zeid
Automatic modulation classification (AMC) plays a critical role in wireless communications by autonomously classifying signals transmitted over the radio spectrum. Deep learning (D…
Segmented Learning for Class-of-Service Network Traffic Classification
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Hatem Abou-zeid +3
Class-of-service (CoS) network traffic classification (NTC) classifies a group of similar traffic applications. The CoS classification is advantageous in resource scheduling for In…
Toward Green Media Delivery: Location-Aware Opportunities and Approaches
Hatem Abou-zeid, Hosssam S. Hassenein
Mobile media has undoubtedly become the predominant source of traffic in wireless networks. The result is not only congestion and poor Quality-of-Experience, but also an unpreceden…
A Lookback Scheduling Framework for Long-Term Quality-of-Service Over Multiple Cells
Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin +1
In current cellular networks, schedulers allocate wireless channel resources to users based on instantaneous channel gains and short-term moving averages of user rates and queue le…