1 citations · 1 across the 6 of their papers we have counts for
6 papers
Opportunistic Network-Level ISAC with Cooperative Sensing: A Meta-Distribution Analysis
Yasser Nabil, Hesham ElSawy, Hossam S. Hassanein
We propose a cooperative sensing framework for mmWave ISAC networks in which a target is sensed by its nearest BS while opportunistically exploiting bistatic echoes from neighborin…
Fronthaul Network Planning for Hierarchical and Radio-Stripes-Enabled CF-mMIMO in O-RAN
Anas S. Mohammed, Krishnendu S. Tharakan, Hussein A. Ammar +2
The deployment of ultra-dense networks (UDNs), particularly cell-free massive MIMO (CF-mMIMO), is mainly hindered by costly and capacity-limited fronthaul links. This work proposes…
Spatiotemporal Analysis of Parallelized Computing at the Extreme Edge
Yasser Nabil, Mahmoud Abdelhadi, Sameh Sorour +3
Extreme Edge Computing (EEC) pushes computing even closer to end users than traditional Multi-access Edge Computing (MEC), harnessing the idle resources of Extreme Edge Devices (EE…
System-level Analysis of Dual-Mode Networked Sensing: ISAC Integration & Coordination Gains
Yasser Nabil, Hesham ElSawy, Hossam S. Hassanein
This paper characterizes integration and coordination gains in dense millimeter-wave ISAC networks through a dual-mode framework that combines monostatic and multistatic sensing. A…
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…
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…