28 citations · 164 across the 37 of their papers we have counts for
42 papers
Towards Federated, Green, and Resilient 6G Non-Terrestrial Networks
Sarath Babu, Victor Baños-Gonzalez, Mario Cordina +20
This study focuses on future Non-Terrestrial Networks (NTN) integrated with Terrestrial Networks (TN) for future 5G/6G systems. NTN envisions a 3D architecture, where Low Earth Orb…
Profit-Driven Pricing and SLA-Aware Reserve Sizing for Multi-Tenant Satellite O-RAN Services
Manobendu Sarker, Gunes Karabulut Kurt, Wael Jaafar
This paper studies a multi-tenant resource allocation problem in a satellite open radio access network (O-RAN) wholesale setting, where heterogeneous traffic classes share a time-v…
Twin-Fidelity-Aware Resolution of Direct xApp Conflicts in Open RAN
Akram Almohammedi, Mohammed Balfaqih, Sam Darshi +2
Open Radio Access Network (O-RAN) allows independently developed xApps to control RAN functions through the Near-Real-Time RAN Intelligent Controller (Near-RT RIC). When xApps with…
Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach
Zijiang Yan, Hao Zhou, Wael Jaafar +4
The deployment of high-speed Uncrewed Aerial Vehicles (UAVs) in 3D aerial highways necessitates robust coordination of physical flight kinematics and multi-tier network handovers.…
Scalable Security and Migration-Aware SFC Provisioning in LEO Satellite Networks
Mohammed Mahyoub, Wael Jaafar, Sami Muhaidat +1
Low Earth orbit (LEO) satellite constellations are emerging as a backbone for global 6G connectivity, where independent tenant slices share orbital infrastructure, each requiring a…
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
Zijiang Yan, Hao Zhou, Wael Jaafar +4
Uncrewed aerial vehicles (UAVs) are increasingly deployed in complex networked environments, yet the joint optimization of multi-UAV motion control and connectivity remains a funda…
Cross-Slice Co-Location Risk-Aware SFC Provisioning in Multi-Slice LEO Satellite Networks
Mohammed Mahyoub, Wael Jaafar, Sami Muhaidat +1
We address cross-slice co-location risk in multi-slice low Earth orbit (LEO) satellite edge networks, where virtual network functions (VNFs) from different network slices sharing t…
Computing in Integrated Terrestrial and Non-Terrestrial Networks: A Comprehensive Survey
Hoe Ziet Wong, Insaf Rzig, Safwan Alfattani +1
The rapid growth of Internet-of-things (IoT) devices, smart vehicles, and other connected objects is driving demand for ubiquitous connectivity and intensive computing capacity. 5G…
A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions
Sonda Fourati, Wael Jaafar, Noura Baccar
Autonomous driving (AD) technology promises to revolutionize daily transportation by making it safer, more efficient, and more comfortable. Their role in reducing traffic accidents…
XLM for Autonomous Driving Systems: A Comprehensive Review
Sonda Fourati, Wael Jaafar, Noura Baccar +1
Large Language Models (LLMs) have showcased remarkable proficiency in various information-processing tasks. These tasks span from extracting data and summarizing literature to gene…
A Novel Energy-Efficient Cross-Layer Design for Scheduling and Routing in 6TiSCH Networks
Ahlam Hannachi, Wael Jaafar, Salim Bitam +1
The 6TiSCH protocol stack plays a vital role in enabling reliable and energy-efficient communications for the Industrial Internet of Things (IIoT). However, it faces challenges, in…
OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learning
Nizar Masmoudi, Wael Jaafar
The conjunction of edge intelligence and the ever-growing Internet-of-Things (IoT) network heralds a new era of collaborative machine learning, with federated learning (FL) emergin…
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu +1
Federated Learning (FL) is a decentralized machine learning (ML) technique that allows a number of participants to train an ML model collaboratively without having to share their p…
RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption
Nesrine Cherif, Wael Jaafar, Halim Yanikomeroglu +1
Unmanned aerial vehicle (UAV) is a promising technology for last-mile cargo delivery. However, the limited on-board battery capacity, cellular unreliability, and frequent handoffs…
Data-Efficient Energy-Aware Participant Selection for UAV-Enabled Federated Learning
Youssra Cheriguene, Wael Jaafar, Chaker Abdelaziz Kerrache +3
Unmanned aerial vehicle (UAV)-enabled edge federated learning (FL) has sparked a rise in research interest as a result of the massive and heterogeneous data collected by UAVs, as w…
Market Driven Multi-domain Network Service Orchestration in 5G Networks
Mouhamad Dieye, Wael Jaafar, Halima Elbiaze +1
The advent of a new breed of enhanced multimedia services has put network operators into a position where they must support innovative services while ensuring both end-to-end Quali…
Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
Zijiang Yan, Wael Jaafar, Bassant Selim +1
This paper presents a deep reinforcement learning solution for optimizing multi-UAV cell-association decisions and their moving velocity on a 3D aerial highway. The objective is to…
FLSTRA: Federated Learning in Stratosphere
Amin Farajzadeh, Animesh Yadav, Omid Abbasi +2
We propose a federated learning (FL) in stratosphere (FLSTRA) system, where a high altitude platform station (HAPS) facilitates a large number of terrestrial clients to collaborati…
On the Design of Communication-Efficient Federated Learning for Health Monitoring
Dong Chu, Wael Jaafar, Halim Yanikomeroglu
With the booming deployment of Internet of Things, health monitoring applications have gradually prospered. Within the recent COVID-19 pandemic situation, interest in permanent rem…
iTUAVs: Intermittently Tethered UAVs for Future Wireless Networks
Nesrine Cherif, Wael Jaafar, Evgenii Vinogradov +3
We propose the intermittently tethered unmanned aerial vehicle (iTUAV) as a tradeoff between the power availability of a tethered UAV (TUAV) and the flexibility of an untethered UA…
Multi-Mode High Altitude Platform Stations (HAPS) for Next Generation Wireless Networks
Safwan Alfattani, Wael Jaafar, Halim Yanikomeroglu +1
The high altitude platform station (HAPS) concept has recently received notable attention from both industry and academia to support future wireless networks. A HAPS can be equippe…
Sustaining Dynamic Traffic in Dense Urban Areas with High Altitude Platform Stations (HAPS)
Cihan Emre Kement, Ferdi Kara, Wael Jaafar +4
The impact of information and communication technologies on global energy consumption is increasing every year, and mobile networks account for a significant portion of it. More th…
UAV-based Crowd Surveillance in Post COVID-19 Era
Nizar Masmoudi, Wael Jaafar, Safa Cherif +2
To cope with the current pandemic situation and reinstate pseudo-normal daily life, several measures have been deployed and maintained, such as mask wearing, social distancing, han…
Optimization of Quantized Phase Shifts for Reconfigurable Smart Surfaces Assisted Communications
Maximiliano Rivera, Mohammad Chegini, Wael Jaafar +2
Reconfigurable Smart Surface (RSS) is assumed to be a key enabler for future wireless communication systems due to its ability to control the wireless propagation environment and,…