19 papers
Perception-Aware Joint Power and Sub-Band Allocation for 6G In-Body Subnetworks
Samira Abdelrahman, Hossam Farag
In-body subnetworks (IBSs) are expected to become a key enabler of immersive eXtended Reality (XR) services in sixth-generation (6G) networks by providing ultra-short-range, low-la…
Semi-Autonomous Prosthesis Control Empowered by 5G and Mobile Edge Computing
Ozan Karaali, Hossam Farag, Strahinja Dosen +1
Prosthetic hands equipped with cameras can use computer vision to plan grasps automatically, reducing cognitive effort. However, running modern vision models on wearable devices is…
Distributed Online Learning for Time-Critical Communication in 6G Industrial Subnetworks
Samira Abdelrahman, Hossam Farag, Gilberto Berardinelli
Reliable and timely delivery of emergency alarms is critical for 6G industrial in-X subnetworks, particularly in dense and dynamic environments where multiple devices may simultane…
Toward Efficient Deployment and Synchronization in Digital Twins-Empowered Networks
Hossam Farag, Cedomir Stefanovic
Digital twins (DTs) are envisioned as a key enabler of the cyber-physical continuum in future wireless networks. However, efficient deployment and synchronization of DTs in dynamic…
Intelligent Radio Resource Slicing for 6G In-Body Subnetworks
Samira Abdelrahman, Hossam Farag
6G In-body Subnetworks (IBSs) represent a key enabler for supporting standalone eXtended Reality (XR) applications. IBSs are expected to operate as an underlay to existing cellular…
Using Visual Language Models to Control Bionic Hands: Assessment of Object Perception and Grasp Inference
Ozan Karaali, Hossam Farag, Strahinja Dosen +1
This study examines the potential of utilizing Vision Language Models (VLMs) to improve the perceptual capabilities of semi-autonomous prosthetic hands. We introduce a unified benc…
Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Samira Abdelrahman, Hossam Farag, Gilberto Berardinelli
Emerging 6G industrial networks envision autonomous in-X subnetworks to support efficient and cost-effective short range, localized connectivity for autonomous control operations.…
Enabling Next-Generation Cloud-Connected Bionic Limbs Through 5G Connectivity
Ozan Karaali, Hossam Farag, Strahinja Dosen +1
Despite the recent advancements in human-machine interfacing, contemporary assistive bionic limbs face critical challenges, including limited computational capabilities, high laten…
5G-Enabled Smart Prosthetic Hand: Connectivity Analysis and Assessment
Ozan Karaali, Hossam Farag, Strahinja Dosen +1
In this paper, we demonstrate a proof-of-concept implementation of a framework for the development of edge-connected prosthetic systems. The framework is composed of a bionic hand…
Proactive Radio Resource Allocation for 6G In-Factory Subnetworks
Hossam Farag, Mohamed Ragab, Gilberto Berardinelli +1
6G In-Factory Subnetworks (InF-S) have recently been introduced as short-range, low-power radio cells installed in robots and production modules to support the strict requirements…
Balancing AoI and Rate for Mission-Critical and eMBB Coexistence with Puncturing, NOMA,and RSMA in Cellular Uplink
Farnaz Khodakhah, Aamir Mahmood, Čedomir Stefanović +3
Through the lens of average and peak age-of-information (AoI), this paper takes a fresh look into the uplink medium access solutions for mission-critical (MC) communication coexist…
A Deep Reinforcement Learning Approach for Improving Age of Information in Mission-Critical IoT
Hossam Farag, Mikael Gidlund, Cedomir Stefanovic
The emerging mission-critical Internet of Things (IoT) play a vital role in remote healthcare, haptic interaction, and industrial automation, where timely delivery of status update…
A TETRA-based System for Remote-Health Monitoring of First Responders: Peak AoI Assessment in Direct and Trunked Mode
Hossam Farag, Aleksandar Vujic, Milos Kostic +2
In this paper, we study peak age of information (PAoI) performance of a novel IoT solution for remote health-monitoring of first responders over TErrestrial Trunked RAdio (TETRA) l…
On the Analysis of AoI-Reliability Tradeoff in Heterogeneous IIoT Networks
Hossam Farag, Syed Muhammad Ali, Cedomir Stefanovic
Age of information (AoI) and reliability are two critical metrics to support real-time applications in Industrial Internet of Things (IIoT). These metrics reflect different concept…
Timely and Efficient Information Delivery in Real-Time Industrial IoT Networks
Hossam Farag, Dejan Vukobratovic, Andrea Munari +1
Enabling real-time communication in Industrial Internet of Things (IIoT) networks is crucial to support autonomous, self-organized and re-configurable industrial automation for Ind…
AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT
Hossam Farag, Mohamed Ragab, Cedomir Stefanovic
In real-time Industrial Internet of Things (IIoT), e.g., monitoring and control scenarios, the freshness of data is crucial to maintain the system functionality and stability. In t…
Distributed Backlog-Aware D2D Communication for Heterogeneous IIoT Applications
Hossam Farag, Cedomir Stefanovic, Mikael Gidlund
Delay and Age-of-Information (AoI) are two crucial performance metrics for emerging time-sensitive applications in Industrial Internet of Things (IIoT). In order to achieve optimal…
Remote Health-Monitoring of First Responders over TETRA Links
Hossam Farag, Aleksandar Vujic, Milos Kostic +2
In this paper, we present a system for remote health-monitoring of first responders over TETRA radio links. The system features a smart garment that periodically records and sends…
Congestion-Aware Routing in Dynamic IoT Networks: A Reinforcement Learning Approach
Hossam Farag, Cedomir Stefanovic
The innovative services empowered by the Internet of Things (IoT) require a seamless and reliable wireless infrastructure that enables communications within heterogeneous and dynam…