Masoud Shokrnezhad

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC

Mohammad Farhoudi, Zeinab Sasan, Masoud Shokrnezhad, Tarik Taleb

Unmanned Aerial Vehicle (UAV)-enabled Mobile Edge Computing (MEC) offers flexible capacity provisioning for heterogeneous network slices, including Hyper-Reliable and Low-Latency Communication (HRLLC), Enhanced Mobile Broadband (eMBB), and Massive Machine-Type Communications (mMT…Read more

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 (QoAIS; output fidelity, continuity, personalization). Existing methods emphasize conventional quali…Read more

Exploiting Overlapping Fields of View for Redundancy-Aware Uplink Transmission in Vehicular 6G

Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb, Onur Günlü

Emerging uplink-dominant 6G use cases, such as cooperative vehicular streaming, require efficient transmission of high-volume visual data over limited wireless resources. While semantic communications can reduce traffic by prioritizing task-relevant content, most existing approac…Read more

A Novel Multiple Access Scheme for Heterogeneous Wireless Communications Using Symmetry-Aware Continual Deep Reinforcement Learning

Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb