@inproceedings{0c80c249e38842279943c1bcec0dcd85,
title = "Analysis on the Neural Network-aided Satellite Resource Allocation Schemes",
abstract = "Satellite systems can efficiently utilize expensive and limited bandwidth and power resources, by reusing frequency bands over multibeams with provision of optimum resource allocation. This paper provides comparative analysis on the resource allocation schemes for frequency reusing multibeam satellite systems under interference-limited condition. After reviewing recent works on machine learning-aided schemes, we propose a new idea to enhance the performance. The performance estimation results investigated in this paper reveal that the proposed scheme can enhance the performance compared to the existing method.",
keywords = "neural network, resource allocation, satellite",
author = "Gyuseong Jo and Satya Chan and Sooyoung Kim and Daesub Oh",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 ; Conference date: 05-02-2023 Through 08-02-2023",
year = "2023",
doi = "10.1109/ICEIC57457.2023.10049977",
language = "English",
series = "2023 International Conference on Electronics, Information, and Communication, ICEIC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Electronics, Information, and Communication, ICEIC 2023",
}