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Journal Article Intelligent Low Complexity Resource Allocation Method for Integrated Satellite-Terrestrial Systems
Cited 22 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Satya Chan, Hyein Lee, Sooyoung Kim, Daesub Oh
Issue Date
2022-05
Citation
IEEE Wireless Communications Letters, v.11, no.5, pp.1087-1091
ISSN
2162-2337
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/LWC.2022.3157062
Abstract
Efficient frequency reusing schemes with multibeam satellite systems can be considered as a promising means of providing high-quality services with expensive and limited satellite bandwidth resources. This letter considers integrated satellite and terrestrial systems, where the same frequency bands are reused in the satellite beams and terrestrial cells. In such a condition, we propose an efficient power and frequency resource allocation scheme to minimize inter-component interference while the maximum throughput is provided to the users. The proposed scheme consists of two simple linear machine learning-based tools and a linear transformation tool. The simulation results show that the proposed scheme approximates the exhaustive search with a highly reduced complexity.
KSP Keywords
Allocation scheme, Frequency resource allocation, High-quality, Learning-based, Linear Transformation, Linear machine, Low complexity, Multibeam satellite systems, Resource allocation method, Satellite and terrestrial, exhaustive search(ES)