6 citations · 12 across the 22 of their papers we have counts for
23 papers
A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation
Fin Gentzen, Marla Grunewald, Iulisloi Zacarias +2
Large Language Models (LLMs) are increasingly deployed as autonomous agents, transitioning from static conversational interfaces to dynamic systems capable of complex reasoning, to…
Efficient Self-Learning and Model Versioning for AI-native O-RAN Edge
Mounir Bensalem, Fin Gentzen, Tuck-Wai Choong +3
The AI-native vision of 6G requires Radio Access Networks to train, deploy, and continuously refine thousands of machine learning (ML) models that drive real-time radio network opt…
A Secured Intent-Based Networking (sIBN) with Data-Driven Time-Aware Intrusion Detection
Urslla Uchechi Izuazu, Mounir Bensalem, Admela Jukan
While Intent-Based Networking (IBN) promises operational efficiency through autonomous and abstraction-driven network management, a critical unaddressed issue lies in IBN's implici…
Optimizing Split Learning Latency in TinyML-Based IoT Systems
Zied Jenhani, Mounir Bensalem, Jasenka Dizdarević +1
Split learning (SL) addresses the limitation of running deep learning inference directly on low-power edge/IoT nodes, in which it executes part of the inference process on the sens…
A Cross-Layer Analysis of Network Antifragility with RIS-assisted Links under Jamming Attacks
Mounir Bensalem, Thomas Röthig, Admela Jukan
Antifragility is an economics term defined as measure of (monetary) benefits gained from the adverse events and variability of the markets. This paper integrates for the first time…
Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
Marla Grunewald, Mounir Bensalem, Admela Jukan
We propose to integrate long-distance LongRange (LoRa) communication solution for sending the data from IoT to the edge computing system, by taking advantage of its unlicensed natu…
Effective ML Model Versioning in Edge Networks
Fin Gentzen, Mounir Bensalem, Admela Jukan
Machine learning (ML) models, data and software need to be regularly updated whenever essential version updates are released and feasible for integration. This is a basic but most…
On Efficient Topology Management in Service-Oriented 6G Networks: An Edge Video Distribution Case Study
Zied Ennaceur, Mounir Bensalem, Admela Jukan +3
An efficient topology management in future 6G networks is one of the fundamental challenges for a dynamic network creation based on location services, whereby each autonomous netwo…
Towards Smart Microfarming in an Urban Computing Continuum
Marla Grunewald, Mounir Bensalem, Jasenka Dizdarević +1
Microfarming and urban computing have evolved as two distinct sustainability pillars of urban living today. In this paper, we combine these two concepts, while majorly extending th…
Signaling Rate and Performance of RIS Reconfiguration and Handover Management in Next Generation Mobile Networks
Mounir Bensalem, Admela Jukan
We consider the problem of signaling rate and performance for an efficient control and management of RIS reconfigurations and handover in next generation mobile networks. To this e…
Predictive Intent Maintenance with Intent Drift Detection in Next Generation Network
Chukwuemeka Muonagor, Mounir Bensalem, Admela Jukan
Intent-Based Networking (IBN) is a known concept for enabling the autonomous configuration and self-adaptation of networks. One of the major issues in IBN is maintaining the applie…
Outage Probability Analysis of Wireless Paths with Faulty Reconfigurable Intelligent Surfaces
Mounir Bensalem, Admela Jukan
We consider a next generation wireless network incorporating a base station a set of typically low-cost and faulty Reconfigurable Intelligent Surfaces (RISs). The base station need…
Towards Optimal Serverless Function Scaling in Edge Computing Network
Mounir Bensalem, Francisco Carpio, Admela Jukan
Serverless computing has emerged as a new execution model which gained a lot of attention in cloud computing thanks to the latest advances in containerization technologies. Recentl…
Scaling Serverless Functions in Edge Networks: A Reinforcement Learning Approach
Mounir Bensalem, Erkan Ipek, Admela Jukan
With rapid advances in containerization techniques, the serverless computing model is becoming a valid candidate execution model in edge networking, similar to the widely used clou…
Towards Optimal Path Allocation for Unreliable Reconfigurable Intelligent Surfaces
Mounir Bensalem, Anna Engelmann, Admela Jukan
Terahertz (THz) communications and reconfigurable intelligent surfaces (RISs) have been recently proposed to enable various powerful indoor applications, such as wireless virtual r…
Benchmarking Various ML Solutions in Complex Intent-Based Network Management Systems
Mounir Bensalem, Jasenka Dizdarević, Admela Jukan
Intent-based networking (IBN) solutions to managing complex ICT systems have become one of the key enablers of intelligent and autonomous network management. As the number of machi…
The Role of Intent-Based Networking in ICT Supply Chains
Mounir Bensalem, Jasenka Dizdarević, Francisco Carpio +1
The evolution towards Industry 4.0 is driving the need for innovative solutions in the area of network management, considering the complex, dynamic and heterogeneous nature of ICT…
Benchmarking Machine Learning Techniques for THz Channel Estimation Problems
Mounir Bensalem, Admela Jukan
Terahertz communication is one of the most promising wireless communication technologies for 6G generation and beyond. For THz systems to be practically adopted, channel estimation…
Benchmarking Buffer Size in IoT Devices Deploying REST HTTP
Cao Vien Phung, Mounir Bensalem, Admela Jukan
A few potential IoT communication protocols at the application layer have been proposed, including MQTT, CoAP and REST HTTP, with the latter being the protocol of choice for softwa…
Jamming-Aware Control Plane in Elastic Optical Networks
Ítalo Brasileiro, Mounir Bensalem, André Drummond +1
Physical layer security is essential in optical networks. In this paper, we study a jamming-aware control plane, in which a high power jamming attack exists in the network. The stu…
Embedding Jamming Attacks into Physical Layer Models in Optical Networks
Mounir Bensalem, Ítalo Brasileiro, André Drummond +1
Optical networks are prone to physical layer attacks, in particular the insertion of high jamming power. In this paper, we present a study of jamming attacks in elastic optical net…
Modeling of Deep Neural Network (DNN) Placement and Inference in Edge Computing
Mounir Bensalem, Jasenka Dizdarević, Admela Jukan
With the edge computing becoming an increasingly adopted concept in system architectures, it is expected its utilization will be additionally heightened when combined with deep lea…
On Detecting and Preventing Jamming Attacks with Machine Learning in Optical Networks
Mounir Bensalem, Sandeep Kumar Singh, Admela Jukan
Optical networks are prone to power jamming attacks intending service disruption. This paper presents a Machine Learning (ML) framework for detection and prevention of jamming atta…