2.4k citations · 5.2k across the 108 of their papers we have counts for
30 papers · 1 filter
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…
SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC
Liangjun Song, Gang Sun, Hongfang Yu +1
In recent years, edge computing, as an important pillar for future networks, has been developed rapidly. Task offloading is a key part of edge computing that can provide computing…
VNF and Container Placement: Recent Advances and Future Trends
Wissal Attaoui, Essaid Sabir, Halima Elbiaze +1
With the growing demand for openness, scalability, and granularity, mobile network function virtualization (NFV) has emerged as a key enabler for most mobile network operators. NFV…
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Latif U. Khan, Zhu Han, Walid Saad +3
Future wireless services must be focused on improving the quality of life by enabling various applications, such as extended reality, brain-computer interaction, and healthcare. Th…
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
Peiying Zhang, Chao Wang, Gagangeet Singh Aujla +2
The wireless network communication mode represented by the Internet of vehicles (IoV) has been widely used. However, due to the limitations of traditional network architecture, res…
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…
A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing
Kuljeet Kaur, Sahil Garg, Georges Kaddoum +2
With the advent of the Internet-of-Things (IoT), vehicular networks and cyber-physical systems, the need for real-time data processing and analysis has emerged as an essential pre-…
SDN Controllers: Benchmarking & Performance Evaluation
Liehuang Zhu, Md Monjurul Karim, Kashif Sharif +3
Software Defined Networks offer flexible and intelligent network operations by splitting a traditional network into a centralized control plane and a programmable data plane. The i…
Automated Attack and Defense Framework for 5G Security on Physical and Logical Layers
Zhihong Tian, Yanbin Sun, Shen Su +3
The 5th generation (5G) network adopts a great number of revolutionary technologies to fulfill continuously increasing requirements of a variety of applications, including ultra-hi…
Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles
Zhihong Tian, Xiangsong Gao, Shen Su +1
Trust management of Internet of connected vehicles has been a hot topic during the recent years with the rapid development of UGV technologies. However, existing resolutions based…
Toward Intelligent Network Optimization in Wireless Networking: An Auto-learning Framework
Wenyu Zhang, Zhenjiang Zhang, Han-Chieh Chao +1
In wireless communication systems (WCSs), the network optimization problems (NOPs) play an important role in maximizing system performances by setting appropriate network configura…
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Mehdi Mohammadi, Ala Al-Fuqaha, Mohsen Guizani +1
Smart services are an important element of the smart cities and the Internet of Things (IoT) ecosystems where the intelligence behind the services is obtained and improved through…
Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks
Liehuang Zhu, Xiangyun Tang, Meng Shen +2
Existing distributed denial-of-service attack detection in software defined networks (SDNs) typically perform detection in a single domain. In reality, abnormal traffic usually aff…
Exploiting wideband spectrum occupancy heterogeneity for weighted compressive spectrum sensing
Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani +1
Compressive sampling has shown great potential for making wideband spectrum sensing possible at sub-Nyquist sampling rates. As a result, there have recently been research efforts t…
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…
Bus Trajectory-Based Street-Centric Routing for Message Delivery in Urban Vehicular Ad hoc Networks
Gang Sun, Yijing Zhang, Dan Liao +3
This paper focuses on the routing algorithm for the communications between vehicles and places in urban VANET. As one of the basic transportation facilities in an urban setting, bu…
A Performance Analysis Model of TCP over Multiple Heterogeneous Paths for 5G Mobile Services
Jiayang Song, Ping Dong, Huachun Zhou +3
Driven by the primary requirement of emerging 5G mobile services, the demand for concurrent multipath transfer (CMT) is still prominent. Yet, multipath transport protocols are not…
Reinforcement Learning based QoS/QoE-aware Service Function Chaining in Software-Driven 5G Slices
Xi Chen, Zonghang Li, Yupeng Zhang +4
With the ever growing diversity of devices and applications that will be connected to 5G networks, flexible and agile service orchestration with acknowledged QoE that satisfies end…
A Computation Offloading Incentive Mechanism with Delay and Cost Constraints under 5G Satellite-ground IoV architecture
Minghui LiWang, Shijie Dai, Zhibin Gao +3
The 5G Internet of Vehicles has become a new paradigm alongside the growing popularity and variety of computation-intensive applications with high requirements for computational re…
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour +1
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications…