79 citations · 151 across the 39 of their papers we have counts for
45 papers
Uncertainty-Aware Federated Learning for Joint Communication and Computation in XR Systems
Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad +2
The convergence of communication and computation, empowered by artificial intelligence (AI) enhanced capabilities, emerges as a key enabler for realizing the promising functionalit…
Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
Robert-Jeron Reifert, Alaa Alameer Ahmad, Hayssam Dahrouj +1
Future sixth-generation (6G) mobile networks are envisioned to be equipped with a diverse set of powerful, yet highly specialized, optimization experts. Such a promising vision is…
Fluid-Antenna-Enabled Integrated Bistatic Sensing and Backscatter Communication Systems
A. Abdelaziz Salem, Saeed Abdallah, Khawla Alnajjar +4
This paper studies a fluid-antenna-enabled integrated bistatic sensing and backscatter communication system for future networks where connectivity, power delivery, and environmenta…
Deep Unfolded Fractional Optimization for Maximizing Robust Throughput in 6G Networks
Anh Thi Bui, Robert-Jeron Reifert, Hayssam Dahrouj +1
The sixth-generation (6G) of wireless communication networks aims to leverage artificial intelligence tools for efficient and robust network optimization. This is especially the ca…
Sum Rate and Worst Case SINR Optimization in Multi HAPS Ground Integrated Networks
Shasha Liu, Hayssam Dahrouj, Abla Kammoun +1
Balancing throughput and fairness promises to be a key enabler for achieving large-scale digital inclusion in future vertical heterogeneous networks (VHetNets). In an attempt to ad…
An Overview of the Prospects and Challenges of Using Artificial Intelligence for Energy Management Systems in Microgrids
Noor ul Misbah Khanum, Hayssam Dahrouj, Ramesh C. Bansal +1
Microgrids have emerged as a pivotal solution in the quest for a sustainable and energy-efficient future. While microgrids offer numerous advantages, they are also prone to issues…
Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching
Krishnendu S. Tharakan, Hayssam Dahrouj, Nour Kouzayha +2
Delivering an immersive experience to virtual reality (VR) users through wireless connectivity offers the freedom to engage from anywhere at any time. Nevertheless, it is challengi…
UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy +2
The development of the sixth generation (6G) of wireless networks is bound to streamline the transition of computation and learning towards the edge of the network. Hierarchical fe…
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad +2
The convergence of communication and computation, along with the integration of machine learning and artificial intelligence, stand as key empowering pillars for the sixth-generati…
Manipulating Predictions over Discrete Inputs in Machine Teaching
Xiaodong Wu, Yufei Han, Hayssam Dahrouj +3
Machine teaching often involves the creation of an optimal (typically minimal) dataset to help a model (referred to as the `student') achieve specific goals given by a teacher. Whi…
Extended Reality via Cooperative NOMA in Hybrid Cloud/Mobile-Edge Computing Networks
Robert-Jeron Reifert, Hayssam Dahrouj, Aydin Sezgin
Extended reality (XR) applications often perform resource-intensive tasks, which are computed remotely, a process that prioritizes the latency criticality aspect. To this end, this…
Blockchain Model for Environment/Infrastructure Monitoring in Cloud-Enabled High-Altitude Platform Systems
Khaleel Mershad, Hayssam Dahrouj
The recently accentuated features of augmenting conventional wireless networks with high altitude platform systems (HAPS) have fueled a plethora of applications, which promise to o…
Characterization of the Global Bias Problem in Aerial Federated Learning
Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy +2
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated learning (FL) at the network edge. However, the underlying uncertainties in the aerial-terrestria…
Equitable 6G Access Service via Cloud-Enabled HAPS for Optimizing Hybrid Air-Ground Networks
Rawan Alghamdi, Hayssam Dahrouj, Tareq Al-Naffouri +1
The evolvement of wireless communication services concurs with significant growth in data traffic, thereby inflicting stringent requirements on terrestrial networks. This work invi…
Joint Communication and Computation in Hybrid Cloud/Mobile Edge Computing Networks
Robert-Jeron Reifert, Hayssam Dahrouj, Basem Shihada +3
Facing a vast amount of connections, huge performance demands, and the need for reliable connectivity, the sixth generation of communication networks (6G) is envisioned to implemen…
Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks
Hayssam Dahrouj, Shasha Liu, Mohamed-Slim Alouini
Integrated space-air-ground networks promise to offer a valuable solution space for empowering the sixth generation of communication networks (6G), particularly in the context of c…
Joint User Association and Beamforming in Integrated Satellite-HAPS-Ground Networks
Shasha Liu, Hayssam Dahrouj, Mohamed-Slim Alouini
This paper proposes, and evaluates the benefit of, one particular hybrid satellite-HAPS-ground network, where one high-altitude-platform-station (HAPS) connected to one geo-satelli…
Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers
Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj +2
Unlike its intercept, a linear classifier's weight vector cannot be tuned by a simple grid search. Hence, this paper proposes weight vector tuning of a generic binary linear classi…
Cloud-Enabled High-Altitude Platform Systems: Challenges and Opportunities
Khaleel Mershad, Hayssam Dahrouj, Hadi Sarieddeen +3
Augmenting ground-level communications with flying networks, such as the high-altitude platform system (HAPS), is among the major innovative initiatives of the next generation of w…
Analysis of Large Scale Aerial Terrestrial Networks with mmWave Backhauling
Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj +3
Service providers are considering the use of unmanned aerial vehicles (UAVs) to enhance wireless connectivity of cellular networks. To provide connectivity, UAVs have to be backhau…
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview
Sara Helal, Hadi Sarieddeen, Hayssam Dahrouj +2
Following the recent progress in Terahertz (THz) signal generation and radiation methods, joint THz communications and sensing applications are shaping the future of wireless syste…
Distributed Resource Management in Downlink Cache-Enabled Multi-Cloud Radio Access Networks
Robert-Jeron Reifert, Alaa Alameer Ahmad, Hayssam Dahrouj +4
In light of the premises of beyond fifth generation (B5G) networks, the need for better exploiting the capabilities of cloud-enabled networks arises, so as to cope with the large-s…
Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges
Nasir Saeed, Heba Almorad, Hayssam Dahrouj +3
This paper overviews point-to-point (P2P) links for integrated satellite-aerial networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of wireless…
Viral Aerosol Concentration Characterization and Detection in Bounded Environments
Osama Amin, Hayssam Dahrouj, Nojood Almayouf +3
Viral spread has been intermittently threatening human life over time. Characterizing the viral concentration and modelling the viral transmission are, therefore, considered major…