나카가미 페이딩 채널에서 딥러닝 기반 송신 전력 제어 기법을 이용하는 무선통신 시스템에 대한 성능 분석 = Performance Analysis of Wireless Communication Systems Using Deep Learning Based Transmit Power Control in Nakagami Fading Channels

다국어 초록 (Multilingual Abstract)

In this paper, we propose a deep learning based transmit power control (TPC) scheme to improve the spectral and energy efficiency of wireless communication systems. In the wireless communication system, the positions of multiple transceivers follow a uniform distribution, and the performances of spectral and energy efficiency for the proposed TPC scheme are analyzed assuming the Nakagami fading channels. The proposed TPC scheme uses batch normalization to improve spectral and energy efficiency in deep learning based training. Through simulation, we compare the results of the spectral and energy efficiency of the proposed TPC scheme and the conventional one for various area sizes that limit the position range of the transceivers and Nakagami fading factors. Comparing the performance results, we verify that the proposed scheme provides better performance than the conventional one.

참고문헌 (Reference)

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