2 citations · 2 across the 2 of their papers we have counts for
3 papers
SafeSlice: Enabling SLA-Compliant O-RAN Slicing via Safe Deep Reinforcement Learning
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
Deep reinforcement learning (DRL)-based slicing policies have shown significant success in simulated environments but face challenges in physical systems such as open radio access…
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…