6 papers
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…
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…
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…
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…
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…
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…