David Naseh

Orcid: 0009-0006-0767-7622

According to our database1, David Naseh authored at least 9 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective.
IEEE Access, 2025

Deep Reinforcement Learning for Edge-DASH-Based Dynamic Video Streaming.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

A Distributed Task Allocation Methodology for Edge Computing in a LEO Satellite IoT Context.
Proceedings of the 12th Advanced Satellite Multimedia Systems Conference and the 18th Signal Processing for Space Communications Workshop, 2025

2024
Real-World Implementation and Performance Analysis of Distributed Learning Frameworks for 6G IoT Applications.
Inf., April, 2024

Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios.
J. Sens. Actuator Networks, February, 2024

Distributed Intelligent Framework for Remote Area Observation on Multilayer Non-Terrestrial Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Multi-Layer Distributed Learning for Intelligent Transportation Systems in 6G Aerial-Ground Integrated Networks.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

2023
Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications.
Future Internet, 2023

Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision.
CoRR, 2023


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