803 citations · 970 across the 71 of their papers we have counts for
76 papers
Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms
Masoud Shokrnezhad, Tarik Taleb, Amir Javadpour
Unmanned aerial vehicle (UAV) swarms deployed in mission-critical applications must simultaneously track a mobile aerial target and maintain reliable data links. However, active in…
A Semantic-Aware Multiple Access Scheme Leveraging Spatial Redundancy for Uplink-Dominant Network Services
Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb
The transition toward semantic-aware communication offers a paradigm shift for next-generation mobile networks, promising to decouple information significance from raw data transmi…
Conversational Orchestration for Organic 6G
Masoud Shokrnezhad, Tarik Taleb
The Organic 6G vision of a network of networks spanning an edge-cloud continuum complemented by non-terrestrial resources requires, to realize its promise, service provisioning tha…
Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC
Mohammad Farhoudi, Zeinab Sasan, Masoud Shokrnezhad +1
Unmanned Aerial Vehicle (UAV)-enabled Mobile Edge Computing (MEC) offers flexible capacity provisioning for heterogeneous network slices, including Hyper-Reliable and Low-Latency C…
Exploiting Overlapping Fields of View for Redundancy-Aware Uplink Transmission in Vehicular 6G
Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb +1
Emerging uplink-dominant 6G use cases, such as cooperative vehicular streaming, require efficient transmission of high-volume visual data over limited wireless resources. While sem…
Quality-Aware Personalized AI Service Provisioning in UAV-Assisted 6G Networks
Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb
In sixth-generation (6G) artificial intelligence (AI) services, two quality dimensions should be jointly addressed: conventional quality (e.g., latency) and Quality of AI Services…
Beyond Per-Request QoS: Coordinating Industrial Workflows with B5G/6G Network Capabilities
Qize Guo, Bjoern Riemer, Tarik Taleb +3
Beyond-5G (B5G) and 6G networks are expected to enable more complex industrial services, which often operate according to multi-phase workflows with phase-specific communication re…
Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning
Samira Kamali Poorazad, Chafika Benzaïd, Tarik Taleb
In the light of the growing connectivity and sensitivity of industrial data, cyberattacks and data breaches are becoming more common in the Industrial Internet of Things (IIoT). To…
KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions
Masoud Shokrnezhad, Tarik Taleb, Yan Chen +1
Key Value Indicators (KVIs) provide a decision oriented view of a service by summarizing how operational performance translates into stakeholder value, risk, and outcomes. However,…
Energy Efficient Orchestration in Multiple-Access Vehicular Aerial-Terrestrial 6G Networks
Mohammad Farhoudi, Hamidreza Mazandarani, Masoud Shokrnezhad +2
The proliferation of users, devices, and novel vehicular applications - propelled by advancements in autonomous systems and connected technologies - is precipitating an unprecedent…
Toward E2E Intelligence in 6G Networks: An AI Agent-Based RAN-CN Converged Intelligence Framework
Youbin Han, Haneul Ko, Namseok Ko +2
Recent advances in intelligent network control have primarily relied on task-specific Artificial Intelligence (AI) models deployed separately within the Radio Access Network (RAN)…
Service Registration, Indexing, Discovery & Selection; An Architectural Survey Toward a GenAI-Driven Future
Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb
The emergence of sixth-generation (6G) networks marks a paradigm shift: by unifying an edge-to-cloud computing continuum with ultra-high-performance networking, 6G will enable capa…
AIORA: An AI-Native Multi-Stakeholder Orchestration Architecture for 6G Continuum
Nuria Molner, Luis Rosa, Fulvio Risso +5
This paper elaborates on a novel AI-native architecture for emerging 6G systems harnessing open APIs, along with supporting mechanisms to empower intelligent and coordinated orches…
Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model
Somayeh Kianpisheh, Tarik Taleb, Jari Iinatti +1
Collaboration opportunities for devices are facilitated with Federated Learning (FL). Edge computing facilitates aggregation at edge and reduces latency. To deal with model poisoni…
Adaptive Multiple Access and Service Placement for Generative Diffusion Models
Hamidreza Mazandarani, Mohammad Farhoudi, Masoud Shokrnezhad +1
Generative Diffusion Models (GDMs) have emerged as key components of Generative Artificial Intelligence (GenAI), offering unparalleled expressiveness and controllability for comple…
Generative Resource Allocation for 6G O-RAN with Diffusion Policies
Salar Nouri, Mojdeh Karbalaeimotaleb, Vahid Shah-Mansouri +1
Dynamic resource allocation in O-RAN is critical for managing the conflicting QoS requirements of 6G network slices. Conventional reinforcement learning agents often fail in this d…
Deep Learning Based Service Composition in Integrated Aerial-Terrestrial Networks
Mohammad Farhoudi, Masoud Shokrnezhad, Somayeh Kianpisheh +1
The explosive growth of user devices and emerging applications is driving unprecedented traffic demands, accompanied by stringent Quality of Service (QoS) requirements. Addressing…
A Novel Multiple Access Scheme for Heterogeneous Wireless Communications using Symmetry-aware Continual Deep Reinforcement Learning
Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb
The Metaverse holds the potential to revolutionize digital interactions through the establishment of a highly dynamic and immersive virtual realm over wireless communications syste…
Semantic-Aware Dynamic and Distributed Power Allocation: a Multi-UAV Area Coverage Use Case
Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb
The advancement towards 6G technology leverages improvements in aerial-terrestrial networking, where one of the critical challenges is the efficient allocation of transmit power. A…
An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning
Masoud Shokrnezhad, Tarik Taleb
6G networks aim to achieve global coverage, massive connectivity, and ultra-stringent requirements. Space-Air-Ground Integrated Networks (SAGINs) and Semantic Communication (SemCom…
Distributed Computation Offloading for Energy Provision Minimization in WP-MEC Networks with Multiple HAPs
Xiaoying Liu, Anping Chen, Kechen Zheng +3
This paper investigates a wireless powered mobile edge computing (WP-MEC) network with multiple hybrid access points (HAPs) in a dynamic environment, where wireless devices (WDs) h…
Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs
Mojdeh Karbalaee Motalleb, Chafika Benzaid, Tarik Taleb +3
The evolution of wireless communication systems will be fundamentally impacted by an open radio access network (O-RAN), a new concept defining an intelligent architecture with enha…
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks
Masoud Shokrnezhad, Hamidreza Mazandarani, Tarik Taleb
The effective distribution of user transmit powers is essential for the significant advancements that the emergence of 6G wireless networks brings. In recent studies, Deep Neural N…
Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems
Somayeh Kianpisheh, Chafika Benzaid, Tarik Taleb
Federated Learning (FL) enables training of a global model from distributed data, while preserving data privacy. However, the singular-model based operation of FL is open with uplo…