803 citations · 970 across the 71 of their papers we have counts for
9 papers · 1 filter
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…