Dagnachew Azene Temesgene

According to our database, Dagnachew Azene Temesgene authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph Neural Network for Building Prediction Agents in Intent-Based Zero-Touch Networks.

Dagnachew Azene Temesgene, Elham Dehghan Biyar, Andrey Silva, Ankita Likhyani, András Zahernszky

Proceedings of the IEEE International Conference on Communications, 2024

2023

Benefits of Pod Dimensioning With Best-Effort Resources in Bare Metal Cloud Native Deployments.

Federico Tonini, Carlos Natalino, Dagnachew Azene Temesgene, Zere Ghebretensae, Lena Wosinska, Paolo Monti

IEEE Netw. Lett., March, 2023

Intent Manager Function with Actuation Predictions: A Performance Evaluation.

Ahmet Cihat Baktir, András Zahemszky, Andrey Silva, Dagnachew Azene Temesgene, Dinand Roeland, Mehmet Karaca

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

A Service-Aware Autoscaling Strategy for Container Orchestration Platforms with Soft Resource Isolation.

Federico Tonini, Carlos Natalino, Dagnachew Azene Temesgene, Zere Ghebretensae, Lena Wosinska, Paolo Monti

Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

2022

Intent-based cognitive closed-loop management with built-in conflict handling.

Ahmet Cihat Baktir, Amadeu do Nascimento Júnior, András Zahemszky, Ankita Likhyani, Dagnachew Azene Temesgene, Dinand Roeland, Elham Dehghan Biyar, Refik Fatih Ustok, Marin Orlic, Mirko D'Angelo

Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022

2021

Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids.

Marco Miozzo, Nicola Piovesan, Dagnachew Azene Temesgene, Paolo Dini

Proceedings of the Deep Learning for Unmanned Systems, 2021

Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells.

Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz, Paolo Dini

IEEE Trans. Sustain. Comput., 2021

2020

Traffic control for energy harvesting virtual small cells via reinforcement learning.

Dagnachew Azene Temesgene

PhD thesis, 2020

2019

Dynamic control of functional splits for energy harvesting virtual small cells: A distributed reinforcement learning approach.

Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini

Comput. Commun., 2019

Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids.

Nicola Piovesan, Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini

IEEE Access, 2019

Offloading for Mobile Device Performance Improvement.

Dagnachew Azene Temesgene, Jari Porras, Janne Parkkila

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells.

Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Dynamic Functional Split Selection in Energy Harvesting Virtual Small Cells Using Temporal Difference Learning.

Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini

Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2017

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey.

Dagnachew Azene Temesgene, José Núñez-Martínez, Paolo Dini

IEEE Access, 2017