379 citations · 866 across the 40 of their papers we have counts for
11 papers · 1 filter
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…
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…
Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges
Latif U. Khan, Mohsen Guizani, Dusit Niyato +2
The growing landscape of emerging wireless applications is a key driver toward the development of novel wireless system designs. Such a design can be based on the metaverse that us…
Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud
Shadha Tabatabai, Ihab Mohammed, Ala Al-Fuqaha +1
The Internet of Things (IoT) revolution and the development of smart communities have resulted in increased demand for bandwidth due to the rise in network traffic. Instead of inve…
Black-box Adversarial ML Attack on Modulation Classification
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha
Recently, many deep neural networks (DNN) based modulation classification schemes have been proposed in the literature. We have evaluated the robustness of two famous such modulati…
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha +1
The holy grail of networking is to create \textit{cognitive networks} that organize, manage, and drive themselves. Such a vision now seems attainable thanks in large part to the pr…
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges
Mehdi Mohammadi, Ala Al-Fuqaha
The development of smart cities and their fast-paced deployment is resulting in the generation of large quantities of data at unprecedented rates. Unfortunately, most of the genera…
Reinforcement Learning for Resource Provisioning in Vehicular Cloud
Mohammad A. Salahuddin, Ala Al-Fuqaha, Mohsen Guizani
This article presents a concise view of vehicular clouds that incorporates various vehicular cloud models, which have been proposed, to date. Essentially, they all extend the tradi…
A High-Level Rule-based Language for Software Defined Network Programming based on OpenFlow
Mehdi Mohammadi, Ala Al-Fuqaha, Zijiang James Yang
This paper proposes XML-Defined Network policies (XDNP), a new high-level language based on XML notation, to describe network control rules in Software Defined Network environments…
RSU Cloud and its Resource Management in support of Enhanced Vehicular Applications
Mohammad A. Salahuddin, Ala Al-Fuqaha, Mohsen Guizani +1
We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional…
Topology Control Schema for Better QoS in Hybrid RF/FSO Mesh Networks
Osama Awwad, Ala Al-Fuqaha, Bilal Khan +1
The practical limitations and challenges of radio frequency (RF) based communication networks have become increasingly apparent over the past decade, leading researchers to seek ne…