Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
Statistics
Help
User Guide
FAQ
Publication list
Document types
Training
Legal Information
Data protection
Legal notices
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Back
Home
Detailled Reference
Download
Article (Scientific journals)
User Scheduling and Power Allocation for Precoded Multi-Beam High Throughput Satellite Systems With Individual Quality of Service Constraints
Chien, Trinh-Van
;
Lagunas, Eva
;
Ta, Tung Hai
et al.
2022
•
In
IEEE Transactions on Vehicular Technology
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/53115
DOI
10.1109/TVT.2022.3206264
Files
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
IEEE_TVT_Chien_Final.pdf
Author preprint (5.76 MB)
Download
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
Twitter
Linkedin
copy to clipboard
copied
Details
Disciplines :
Computer science
Author, co-author :
Chien, Trinh-Van
Lagunas, Eva
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ta, Tung Hai
Chatzinotas, Symeon
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ottersten, Björn
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
User Scheduling and Power Allocation for Precoded Multi-Beam High Throughput Satellite Systems With Individual Quality of Service Constraints
Publication date :
2022
Journal title :
IEEE Transactions on Vehicular Technology
ISSN :
0018-9545
Publisher :
Institute of Electrical and Electronics Engineers, United States
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR13696663 - Resource Optimization For Next Generation Of Flexible Satellite Payloads, 2019 (01/03/2020-31/08/2023) - Eva Lagunas
Available on ORBilu :
since 14 December 2022
Statistics
Number of views
32 (2 by Unilu)
Number of downloads
25 (0 by Unilu)
More statistics
WoS citations
™
0
Bibliography
Similar publications
Contact ORBilu