Machine learning based throughput prediction in 5G NR non-terrestrial networks using system-level simulator
2
Ericsson Network Services, Ericssonstraat 2, 5121 ML Rijen, Netherlands
|
Publication type: Journal Article
Publication date: 2025-02-14
SJR: 0.137
CiteScore: 0.4
Impact factor: —
ISSN: 27324494
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Total citations:
0
Cite this
GOST |
RIS |
BibTex |
MLA
Cite this
GOST
Copy
Raghunandan S., Ebrahimi S. Machine learning based throughput prediction in 5G NR non-terrestrial networks using system-level simulator // IET Conference Proceedings. 2025. Vol. 2024. No. 31. pp. 43-50.
GOST all authors (up to 50)
Copy
Raghunandan S., Ebrahimi S. Machine learning based throughput prediction in 5G NR non-terrestrial networks using system-level simulator // IET Conference Proceedings. 2025. Vol. 2024. No. 31. pp. 43-50.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1049/icp.2024.4609
UR - http://digital-library.theiet.org/doi/10.1049/icp.2024.4609
TI - Machine learning based throughput prediction in 5G NR non-terrestrial networks using system-level simulator
T2 - IET Conference Proceedings
AU - Raghunandan, Sahana
AU - Ebrahimi, Shahla
PY - 2025
DA - 2025/02/14
PB - Institution of Engineering and Technology (IET)
SP - 43-50
IS - 31
VL - 2024
SN - 2732-4494
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2025_Raghunandan,
author = {Sahana Raghunandan and Shahla Ebrahimi},
title = {Machine learning based throughput prediction in 5G NR non-terrestrial networks using system-level simulator},
journal = {IET Conference Proceedings},
year = {2025},
volume = {2024},
publisher = {Institution of Engineering and Technology (IET)},
month = {feb},
url = {http://digital-library.theiet.org/doi/10.1049/icp.2024.4609},
number = {31},
pages = {43--50},
doi = {10.1049/icp.2024.4609}
}
Cite this
MLA
Copy
Raghunandan, Sahana, and Shahla Ebrahimi. “Machine learning based throughput prediction in 5G NR non-terrestrial networks using system-level simulator.” IET Conference Proceedings, vol. 2024, no. 31, Feb. 2025, pp. 43-50. http://digital-library.theiet.org/doi/10.1049/icp.2024.4609.