activity
20232026
most citedDouble Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications

24 citations · 44 across the 25 of their papers we have counts for

collaborators

26 papers

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…