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

27 papers

cs.AI2026

Uncertainty-Aware Resource Orchestration for Agentic AI Systems

Masoud Shokrnezhad, Tarik Taleb

Agentic artificial intelligence (AI) systems powered by large language models (LLMs) execute as autonomous multi-step pipelines that dynamically invoke tools, integrate observation…

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…

cs.DC2026

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,…

cs.NI2026

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2024

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…

cs.NI2024★ 8 cited

Discovery of 6G Services and Resources in Edge-Cloud-Continuum

Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb +2

The advent of 6G networks will present a pivotal juncture in the evolution of telecommunications, marked by the proliferation of devices, dynamic service requests, and the integrat…

cs.DC2024

Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions

Masoud Shokrnezhad, Hamidreza Mazandarani, Tarik Taleb +2

In the context of emerging 6G services, the realization of everything-to-everything interactions involving a myriad of physical and digital entities presents a crucial challenge. T…

cs.NI2024

Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)

Masoud Shokrnezhad, Hao Yu, Tarik Taleb +4

In the context of advancing 6G, a substantial paradigm shift is anticipated, highlighting comprehensive everything-to-everything interactions characterized by numerous connections…

cs.NI2024

ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G

Masoud Shokrnezhad, Tarik Taleb

Anticipation for 6G's arrival comes with growing concerns about increased energy consumption in computing and networking. The expected surge in connected devices and resource-deman…

cs.NI2024★ 1 cited

Joint Network Slicing, Routing, and In-Network Computing for Energy-Efficient 6G

Zeinab Sasan, Masoud Shokrnezhad, Siavash Khorsandi +1

To address the evolving landscape of next-generation mobile networks, characterized by an increasing number of connected users, surging traffic demands, and the continuous emergenc…

cs.NI2024

A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications

Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb

The emergence of the semantic-aware paradigm presents opportunities for innovative services, especially in the context of 6G-based applications. Although significant progress has b…

cs.NI2023

QoS-Aware Service Prediction and Orchestration in Cloud-Network Integrated Beyond 5G

Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb

Novel applications such as the Metaverse have highlighted the potential of beyond 5G networks, which necessitate ultra-low latency communications and massive broadband connections.…

cs.NI2023★ 24 cited

Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications

Masoud Shokrnezhad, Tarik Taleb, Patrizio Dazzi

Nowadays, as the need for capacity continues to grow, entirely novel services are emerging. A solid cloud-network integrated infrastructure is necessary to supply these services in…