7 citations · 11 across the 23 of their papers we have counts for
14 papers · 1 filter
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…
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…
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…
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…