Dagnachew Azene Temesgene

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 13

Top Topics

Robotic Control

Reinforcement Learning

Virtual Reality

Optimal Placement

Top Venues

Publications

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)
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)
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) (2023)
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)
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) (2021)
Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz, Paolo Dini
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells. CoRR (2020)
Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini
Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning Approach. CoRR (2019)
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 (2019)
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 (2019)
Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini
Dynamic Functional Split Selection in Energy Harvesting Virtual Small Cells Using Temporal Difference Learning. PIMRC (2018)
Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. CoRR (2018)
Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. VTC Fall (2018)
Dagnachew Azene Temesgene, José Núñez-Martínez, Paolo Dini
Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey. IEEE Access 5 (2017)