Ajou University repository

Optimized Guard Band Allocation for TN and NTN Coexistence Using Reinforcement Learning
Citations

SCOPUS

0

Citation Export

Publication Year
2024-01-01
Journal
International Conference on ICT Convergence
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, pp.962-964
Keyword
coexistencedeep reinforcement learningguard bandNon-terrestrial networksterrestrial networks
Mesh Keyword
Band allocationCoexistenceGuard bandwidthGuard-bandInterference managementManagement ISNon-terrestrial networkReinforcement learningsTerrestrial networks
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
Efficient interference management is crucial for the coexistence of terrestrial networks and non-terrestrial networks. This paper proposes an approach to optimize frequency band allocation by determining the optimal guard bandwidth, reducing interference, and improving coexistence between terrestrial networks and non-terrestrial networks. Simulation results offer guidelines for setting appropriate guard bandwidth, ensuring effective terrestrial networks and non-terrestrial networks coexistence.
ISSN
2162-1241
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38139
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85217631845&origin=inward
DOI
https://doi.org/10.1109/ictc62082.2024.10827795
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference Paper
Funding
This work was supported by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by Korean Government the Ministry of Science and Information and Communications Technology (MSIT), Information and Communications Technology (Development of 3D Spatial Satellite Communications Technology) under Grant 2021-0-00847
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Jung, Soyi Image
Jung, Soyi정소이
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.