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.