Back
  1. Home
  3. QOE-AWARE DYNAMIC RESOURCE ALLOCATION IN NEXT GENERATION SATELLITE NETWORKS - 2025
Download
Doctoral thesis (Dissertations and theses)
QOE-AWARE DYNAMIC RESOURCE ALLOCATION IN NEXT GENERATION SATELLITE NETWORKS
KEBEDEW, Teweldebrhan Mezgebo
2025
Permalink
https://hdl.handle.net/10993/66009
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
PhD_Thesis_Teweldebrhan_Mezgebo_Kebedew_2025.pdf
Author postprint (4.77 MB)
Download

All documents in ORBilu are protected by a user license.

Send to


Details


Keywords :
Quality of Experience , Dynamic Resource Allocation, Deep Q networks, Queuing techinques
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications
Disciplines :
Computer science
Author, co-author :
KEBEDEW, Teweldebrhan Mezgebo ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Language :
English
Title :
QOE-AWARE DYNAMIC RESOURCE ALLOCATION IN NEXT GENERATION SATELLITE NETWORKS
Defense date :
19 September 2025
Number of pages :
152
Institution :
Unilu - University of Luxembourg [Interdisciplinary Center for Security, Reliability and Trust (SnT)], Luxembourg, Luxembourg
Degree :
Docteur en Informatique
Promotor :
LAGUNAS, Eva  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Jury member :
De Sanctis, Mauro;  Professor, University Tor Vergata, Rome, Italy
OTTERSTEN, Björn  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Grotz, Joel;  SES S.A.
Focus Area :
Computational Sciences
Name of the research project :
R-AGR-3929 - IPBG19/14016225/INSTRUCT - SES - CHATZINOTAS Symeon
Funders :
FNR - Luxembourg National Research Fund
Funding text :
This work has been supported by the Luxembourg National Research Fund (FNR) under the project INSTRUCT (IPBG19/14016225/INSTRUCT).
Available on ORBilu :
since 11 October 2025

Statistics

Number of views
138 (14 by Unilu)
Number of downloads
244 (32 by Unilu)
More statistics

Bibliography

Similar publications


Contact ORBilu