510 citations · 2.2k across the 62 of their papers we have counts for
20 papers · 1 filter
CIVIC: Cooperative Immersion Via Intelligent Credit-sharing in DRL-Powered Metaverse
Amr Aboeleneen, Mohamed Abdallah, Aiman Erbad +1
The Metaverse faces complex resource allocation challenges due to diverse Virtual Environments (VEs), Digital Twins (DTs), dynamic user demands, and strict immersion needs. This pa…
IntAgent: NWDAF-Based Intent LLM Agent Towards Advanced Next Generation Networks
Abdelrahman Soliman, Ahmed Refaey, Aiman Erbad +1
Intent-based networks (IBNs) are gaining prominence as an innovative technology that automates network operations through high-level request statements, defining what the network s…
A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse
Nahom Abishu Hayla, A. Mohammed Seid, Aiman Erbad +3
Although multi-tier vehicular Metaverse promises to transform vehicles into essential nodes -- within an interconnected digital ecosystem -- using efficient resource allocation and…
Layer-Wise Security Framework and Analysis for the Quantum Internet
Zebo Yang, Ali Ghubaish, Raj Jain +5
With its significant security potential, the quantum internet is poised to revolutionize technologies like cryptography and communications. Although it boasts enhanced security ove…
Learn to Slice, Slice to Learn: Unveiling Online Optimization and Reinforcement Learning for Slicing AI Services
Amr Abo-eleneen, Menna Helmy, Alaa Awad Abdellatif +3
In the face of increasing demand for zero-touch networks to automate network management and operations, two pivotal concepts have emerged: "Learn to Slice" (L2S) and "Slice to Lear…
Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services
Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen +2
The forthcoming 6G networks will embrace a new realm of AI-driven services that requires innovative network slicing strategies, namely slicing for AI, which involves the creation o…
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks
Hassan Saadat, Abdullatif Albaseer, Mohamed Abdallah +2
Today, wireless networks are becoming responsible for serving intelligent applications, such as extended reality and metaverse, holographic telepresence, autonomous transportation,…
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
Rami Hamdi, Ahmed Ben Said, Emna Baccour +4
Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifi…
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha +3
Clustered federated Multitask learning is introduced as an efficient technique when data is unbalanced and distributed amongst clients in a non-independent and identically distribu…
On the Modeling of Reliability in Extreme Edge Computing Systems
Mhd Saria Allahham, Amr Mohamed, Aiman Erbad +1
Extreme edge computing (EEC) refers to the endmost part of edge computing wherein computational tasks and edge services are deployed only on extreme edge devices (EEDs). EEDs are c…
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks
Rami Hamdi, Emna Baccour, Aiman Erbad +2
LoRa wireless networks are considered as a key enabling technology for next generation internet of things (IoT) systems. New IoT deployments (e.g., smart city scenarios) can have t…
Energy-Efficient Multi-Orchestrator Mobile Edge Learning
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a collaborative learning paradigm that features distributed training of Machine Learning (ML) models over edge devices (e.g., IoT devices). In MEL, po…
Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a learning paradigm that enables distributed training of Machine Learning models over heterogeneous edge devices (e.g., IoT devices). Multi-orchestrat…
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
Emna Baccour, Fatima Haouari, Aiman Erbad +4
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu and Twitch are gaining more momentum recently. Allocating the limited resources in a cost…
Proportionally Fair approach for Tor's Circuits Scheduling
Lamiaa Basyoni, Aiman Erbad, Amr Mohamed +2
The number of users adopting Tor to protect their online privacy is increasing rapidly. With a limited number of volunteered relays in the network, the number of clients' connectio…
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
Emna Baccour, Aiman Erbad, Amr Mohamed +2
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of suc…
Exploring Micro-Services for Enhancing Internet QoS
Deval Bhamare, Mohammed Samaka, Aiman Erbad +2
With the enhancements in the field of software-defined networking and virtualization technologies, novel networking paradigms such as network function virtualization (NFV) and the…
Efficient Virtual Network Function Placement Strategies for Cloud Radio Access Networks
Deval Bhamare, Aiman Erbad, Raj Jain +2
The new generation of 5G mobile services places stringent requirements for cellular network operators in terms of latency and costs. The latest trend in radio access networks (RANs…
Fault and Performance Management in Multi-Cloud Based NFV using Shallow and Deep Predictive Structures
Lav Gupta, M. Samaka, Raj Jain +3
Deployment of Network Function Virtualization (NFV) over multiple clouds accentuates its advantages like the flexibility of virtualization, proximity to customers and lower total c…
Optimal Virtual Network Function Placement and Resource Allocation in Multi-Cloud Service Function Chaining Architecture
Deval Bhamare, Mohammed Samaka, Aiman Erbad +3
Service Function Chaining (SFC) is the problem of deploying various network service instances over geographically distributed data centers and providing inter-connectivity among th…