E-LIB Suche - Ergebnisse für: Temesgene, Dagnachew Azene

1

Intent Manager Function with Actuation Predictions: A Perfo..:

, In: 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom),

Baktir, Ahmet Cihat ; Zahemszky, Andras ; Silva, Andrey... - p. 276-281 , 2023

Link: https://doi.org/10.1109/..

2

Intent-based cognitive closed-loop management with built-in..:

, In: 2022 IEEE 8th International Conference on Network Softwarization (NetSoft),

Baktir, Ahmet Cihat ; Junior, Amadeu Do Nascimento ; Zahemszky, Andras... - p. 73-78 , 2022

Link: https://doi.org/10.1109/..

3

Distributed Deep Reinforcement Learning for Functional Spli..:

Temesgene, Dagnachew Azene ; Miozzo, Marco ; Gunduz, Deniz.
IEEE Transactions on Sustainable Computing. 6 (2021) 4 - p. 626-640 , 2021

Link: https://doi.org/10.1109/..

4

Deep Reinforcement Learning for Autonomous Mobile Networks ..:

, In: Deep Learning for Unmanned Systems; Studies in Computational Intelligence,

Miozzo, Marco ; Piovesan, Nicola ; Temesgene, Dagnachew Azene. - p. 259-308 , 2021

Link: https://doi.org/10.1007/..

5

Dynamic control of functional splits for energy harvesting ..:

Temesgene, Dagnachew Azene ; Miozzo, Marco ; Dini, Paolo
Computer Communications. 148 (2019) - p. 48-61 , 2019

Link: https://doi.org/10.1016/..

6

Traffic control for energy harvesting virtual small cells v..:

Temesgene, Dagnachew Azene
http://hdl.handle.net/10803/669329. , 2020

Link: http://hdl.handle.net/10..

7

Distributed Deep Reinforcement Learning for Functional Spli..:

Temesgene, Dagnachew Azene ; Miozzo, Marco ; Gündüz, Deniz.
https://zenodo.org/record/4430405. , 2020

Link: https://zenodo.org/recor..

8

Traffic control for energy harvesting virtual small cells v..:

Temesgene, Dagnachew Azene
Temesgene, D.A. Traffic control for energy harvesting virtual small cells via reinforcement learning. Tesi doctoral, UPC, Departament d'Enginyeria Telemàtica, 2020. DOI 10.5821/dissertation-2117-328205.. , 2020

Link: http://hdl.handle.net/21..

9

Distributed Deep Reinforcement Learning for Functional Spli..:

Temesgene, Dagnachew Azene ; Miozzo, Marco ; Gündüz, Deniz.
http://arxiv.org/abs/2008.04105. , 2020

Link: http://arxiv.org/abs/200..

10

Dynamic Control of Functional Splits for Energy Harvesting ..:

Temesgene, Dagnachew Azene ; Miozzo, Marco ; Dini, Paolo
https://zenodo.org/record/3629471. , 2019

Link: https://zenodo.org/recor..

11

Joint Load Control and Energy Sharing for Autonomous Operat..:

Nicola Piovesan ; Dagnachew Azene Temesgene ; Marco Miozzo.
https://ieeexplore.ieee.org/document/8662568/. , 2019

Link: https://doi.org/10.1109/..

12

Softwarization and Optimization for Sustainable Future Mobi..:

Dagnachew Azene Temesgene ; Jose Nunez-Martinez ; Paolo Dini
https://ieeexplore.ieee.org/document/8105802/. , 2017

Link: https://doi.org/10.1109/..

13

A Service-Aware Autoscaling Strategy for Container Orchestr..:

, In: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit),

Tonini, Federico ; Natalino, Carlos ; Temesgene, Dagnachew A.... - p. 454-459 , 2023

Link: https://doi.org/10.1109/..

14

Benefits of Pod Dimensioning With Best-Effort Resources in ..:

Tonini, Federico ; Natalino, Carlos ; Temesgene, Dagnachew A....
IEEE Networking Letters. 5 (2023) 1 - p. 41-45 , 2023

Link: https://doi.org/10.1109/..

15

Optimal Placement of Baseband Functions for Energy Harvesti..:

, In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall),

Temesgene, Dagnachew A. ; Piovesan, Nicola ; Miozzo, Marco. - p. 1-6 , 2018

Link: https://doi.org/10.1109/..