55 citations · 109 across the 18 of their papers we have counts for
18 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…
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…
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback
Omar Erak, Hatem Abou-Zeid
The recent advances in machine learning and deep neural networks have made them attractive candidates for wireless communications functions such as channel estimation, decoding, an…
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
Roghayeh Joda, Medhat Elsayed, Hatem Abou-zeid +5
The Internet of Senses (IoS) holds the promise of flawless telepresence-style communication for all human `receptors' and therefore blurs the difference of virtual and real environ…
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…
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…
Online Distributed Coordinated Precoding for Virtualized MIMO Networks with Delayed CSI
Juncheng Wang, Ben Liang, Min Dong +2
We consider online wireless network virtualization (WNV) in a multi-cell multiple-input multiple output (MIMO) system with delayed feedback of channel state information (CSI). Mult…
Virtual Reality Gaming on the Cloud: A Reality Check
Sihao Zhao, Hatem Abou-zeid, Ramy Atawia +3
Cloud virtual reality (VR) gaming traffic characteristics such as frame size, inter-arrival time, and latency need to be carefully studied as a first step toward scalable VR cloud…
Hierarchical Online Convex Optimization
Juncheng Wang, Ben Liang, Min Dong +2
We consider online convex optimization (OCO) over a heterogeneous network with communication delay, where multiple workers together with a master execute a sequence of decisions to…
Structure-aware reinforcement learning for node-overload protection in mobile edge computing
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu +3
Mobile Edge Computing (MEC) refers to the concept of placing computational capability and applications at the edge of the network, providing benefits such as reduced latency in han…
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
Juncheng Wang, Ben Liang, Min Dong +2
We consider online convex optimization (OCO) with multi-slot feedback delay, where an agent makes a sequence of online decisions to minimize the accumulation of time-varying convex…
Distributed coordinated precoding for MIMO cellular network virtualization
Juncheng Wang, Min Dong, Ben Liang +2
This paper presents a new virtualization method for the downlink of a multi-cell multiple-input multiple-output (MIMO) network, to achieve service isolation among multiple Service…
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…
Energy-Efficient Adaptive Video Transmission: Exploiting Rate Predictions in Wireless Networks
Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin
The unprecedented growth of mobile video traffic is adding significant pressure to the energy drain at both the network and the end user. Energy efficient video transmission techni…
Predictive Green Wireless Access: Exploiting Mobility and Application Information
Hatem Abou-zeid, Hossam S. Hassanein
The ever increasing mobile data traffic and dense deployment of wireless networks have made energy efficient radio access imperative. As networks are designed to satisfy peak user…