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Dagnachew Azene Temesgene
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2020 – today
- 2023
- [j5]Federico Tonini
, Carlos Natalino
, Dagnachew Azene Temesgene, Zere Ghebretensae, Lena Wosinska
, Paolo Monti
:
Benefits of Pod Dimensioning With Best-Effort Resources in Bare Metal Cloud Native Deployments. IEEE Netw. Lett. 5(1): 41-45 (2023) - [c6]Federico Tonini
, Carlos Natalino, Dagnachew Azene Temesgene, Zere Ghebretensae, Lena Wosinska, Paolo Monti:
A Service-Aware Autoscaling Strategy for Container Orchestration Platforms with Soft Resource Isolation. EuCNC/6G Summit 2023: 454-459 - [c5]Ahmet Cihat Baktir, András Zahemszky, Andrey Silva, Dagnachew Azene Temesgene, Dinand Roeland, Mehmet Karaca:
Intent Manager Function with Actuation Predictions: A Performance Evaluation. MeditCom 2023: 276-281 - 2022
- [c4]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:
Intent-based cognitive closed-loop management with built-in conflict handling. NetSoft 2022: 73-78 - 2021
- [j4]Dagnachew Azene Temesgene
, Marco Miozzo
, Deniz Gündüz
, Paolo Dini
:
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells. IEEE Trans. Sustain. Comput. 6(4): 626-640 (2021) - [p1]Marco Miozzo, Nicola Piovesan
, Dagnachew Azene Temesgene, Paolo Dini
:
Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids. Deep Learning for Unmanned Systems 2021: 259-308 - 2020
- [b1]Dagnachew Azene Temesgene:
Traffic control for energy harvesting virtual small cells via reinforcement learning. Polytechnic University of Catalonia, Spain, 2020 - [i3]Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz, Paolo Dini:
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells. CoRR abs/2008.04105 (2020)
2010 – 2019
- 2019
- [j3]Nicola Piovesan
, Dagnachew Azene Temesgene
, Marco Miozzo
, Paolo Dini
:
Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids. IEEE Access 7: 31140-31150 (2019) - [j2]Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini
:
Dynamic control of functional splits for energy harvesting virtual small cells: A distributed reinforcement learning approach. Comput. Commun. 148: 48-61 (2019) - [c3]Dagnachew Azene Temesgene, Jari Porras, Janne Parkkila:
Offloading for Mobile Device Performance Improvement. HICSS 2019: 1-10 - [i2]Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini:
Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning Approach. CoRR abs/1906.05735 (2019) - 2018
- [c2]Dagnachew Azene Temesgene, Marco Miozzo
, Paolo Dini
:
Dynamic Functional Split Selection in Energy Harvesting Virtual Small Cells Using Temporal Difference Learning. PIMRC 2018: 1813-1819 - [c1]Dagnachew Azene Temesgene, Nicola Piovesan
, Marco Miozzo
, Paolo Dini
:
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. VTC Fall 2018: 1-6 - [i1]Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini:
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. CoRR abs/1805.12015 (2018) - 2017
- [j1]Dagnachew Azene Temesgene
, José Núñez-Martínez, Paolo Dini
:
Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey. IEEE Access 5: 25421-25436 (2017)
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