Golshan Famitafreshi
Orcid: 0000-0003-0634-0041
According to our database1,
Golshan Famitafreshi authored at least 13 papers
between 2019 and 2025.
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Bibliography
2025
Zero-Touch Federated Intelligence with Real-Time Visualization for SLA-aware Resource Provisioning over NTN towards Railway Automation.
Proceedings of the IEEE Conference on Network Function Virtualization and Software-Defined Networking, 2025
Proceedings of the IEEE Conference on Network Function Virtualization and Software-Defined Networking, 2025
An Intelligent Zero-Touch Management and Orchestration in 6G: A Green Hierarchical Reinforcement Learning Approach.
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
Integrating energy harvesting within the IoT ecosystem for sustainable wireless communication.
PhD thesis, 2024
Real-Time Machine Learning-Based IoT Data Analysis in the Edge Cloud Continuum Using AC<sup>3</sup>.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024
An Innovative Multi-Scale Strategy-Based Decision Engine for Zero-Touch Management and Orchestration in 6G.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024
2023
Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios.
IEEE Access, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
Enabling Energy Harvesting-Based Wi-Fi System for an e-Health Application: A MAC Layer Perspective.
Sensors, 2022
2021
A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities.
Sensors, 2021
2019
Proceedings of the Machine Learning for Networking, 2019