547 citations · 830 across the 57 of their papers we have counts for
66 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…
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…
Probabilistic Sensing: Intelligence in Data Sampling
Ibrahim Albulushi, Saleh Bunaiyan, Suraj S. Cheema +2
Extending the intelligence of sensors to the data-acquisition process - deciding whether to sample or not - can result in transformative energy-efficiency gains. However, making su…
Configurable p-Neurons Using Modular p-Bits
Saleh Bunaiyan, Mohammad Alsharif, Abdelrahman S. Abdelrahman +5
Probabilistic bits (p-bits) have recently been employed in neural networks (NNs) as stochastic neurons with sigmoidal probabilistic activation functions. Nonetheless, there remain…
Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
Furqan Zahoor, Ibrahim A. Albulushi, Saleh Bunaiyan +3
With a growing interest in securing user data within the internet-of-things (IoT), embedded encryption has become of paramount importance, requiring light-weight high-quality Rando…
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…
Energy-as-a-Service for RF-Powered IoE Networks: A Percolation Theory Approach
Hao Lin, Ainur Zhaikhan, Mustafa A. Kishk +2
Due to the involved massive number of devices, radio frequency (RF) energy harvesting is indispensable to realize the foreseen Internet-of-Everything (IoE) within 6G networks. Anal…
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…
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…
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…
Rate Outage and Meta-Distribution for Uplink Networks in Finite Block-Length Regime
Nourhan Hesham, Hesham ElSawy, Jahangir Hossain +1
With the expected proliferation of delay constrained applications, future communication technologies are pushed towards using short codes. The performance using short codes cannot…
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…
Rate Adaptation in Delay-Sensitive and Energy-Constrained Large-Scale IoT Networks
Mostafa Emara, Nour Kouzayha, Hesham ElSawy +1
Feedback transmissions are used to acknowledge correct packet reception, trigger erroneous packet re-transmissions, and adapt transmission parameters (e.g., rate and power). Despit…
Ultra-Reliable Device-Centric Uplink Communications in Airborne Networks: A Spatiotemporal Analysis
Yasser Nabil, Hesham ElSawy, Suhail Al-Dharrab +2
This paper proposes an ultra-reliable device-centric uplink (URDC-UL) communication scheme for airborne networks. In particular, base stations (BSs) are mounted on unmanned aerial…
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…
Data Aggregation in Synchronous Large-scale IoT Networks: Granularity, Reliability, and Delay Tradeoffs
Yasser Nabil, Hesham ElSawy, Suhail Al-Dharrab +2
This paper studies data aggregation in large-scale regularly deployed Internet of Things (IoT) networks, where devices generate synchronized time-triggered traffic (e.g., measureme…
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…
Grant-Free Opportunistic Uplink Transmission in Wireless-powered IoT: A Spatio-temporal Model
Mohammad Gharbieh, Hesham ElSawy, Mustafa Emara +2
Ambient radio frequency (RF) energy harvesting is widely promoted as an enabler for wireless-power Internet of Things (IoT) networks. This paper jointly characterizes energy harves…
Safeguarding the IoT from Malware Epidemics: A Percolation Theory Approach
Ainur Zhaikhan, Mustafa A. Kishk, Hesham ElSawy +1
The upcoming Internet of things (IoT) is foreseen to encompass massive numbers of connected devices, smart objects, and cyber-physical systems. Due to the large-scale and massive d…
Rate Adaptation and Latency in Heterogeneous IoT Networks
Hesham ElSawy
This paper studies the effect of rate adaptation in time slotted Internet of things (IoT) networks. For a given time slot duration and packets size, rate adaptation necessitates pa…
Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems
Mustafa Emara, Hesham ElSawy, Miltiades C. Filippou +1
Multi-access Edge Computing (MEC) enables computation and energy-constrained devices to offload and execute their tasks on powerful servers. Due to the scarce nature of the spectra…