1 citations · 2 across the 9 of their papers we have counts for
9 papers
Traffic-Aware Cost-Optimized Fronthaul Planning for Ultra-Dense Networks
Anas S. Mohammed, Hussein A. Ammar, Krishnendu S. Tharakan +2
The cost and limited capacity of fronthaul links pose significant challenges for the deployment of ultra-dense networks (UDNs), specifically for cell-free massive MIMO systems. Hen…
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…
Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clients
Mohamed Ads, Hesham ElSawy, Hossam S. Hassanein
Wireless Federated Learning (FL) is an emerging distributed machine learning paradigm, particularly gaining momentum in domains with confidential and private data on mobile clients…
Finite Blocklength Regime Performance of Downlink Large Scale Networks
Nourhan Hesham, Anas Chaaban, Hesham ElSawy +1
Some emerging 5G and beyond use-cases impose stringent latency constraints, which necessitates a paradigm shift towards finite blocklength performance analysis. In contrast to Shan…
Handover Management in 5G and Beyond: A Topology Aware Skipping Approach
Rabe Arshad, Hesham ElSawy, Sameh Sorour +2
Network densification is found to be a potential solution to meet 5G capacity standards. Network densification offers more capacity by shrinking base stations' (BSs) footprints, th…
Velocity-Aware Handover Management in Two-Tier Cellular Networks
Rabe Arshad, Sameh Sorour, Hesham Elsawy +2
While network densification is considered an important solution to cater the ever-increasing capacity demand, its effect on the handover (HO) rate is overlooked. In dense 5G networ…