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Conference Paper
Analysis on the Neural Network-aided Satellite Resource Allocation Schemes
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- Authors
- Gyuseong Jo, Satya Chan, Sooyoung Kim, Daesub Oh
- Issue Date
- 2023-02
- Citation
- International Conference on Electronics, Information and Communication (ICEIC) 2023, pp.77-80
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Comparative analysis, Limited bandwidth, Multibeam satellite systems, Performance Estimation, frequency band, interference-limited, machine Learning, neural network, resource allocation(RA)