The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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Machine-Learning-Based Link Adaptation for Energy-Efficient MIMO-OFDM Systems

MIMO-OFDM 시스템에서 에너지 효율성을 위한 기계 학습 기반 적응형 전송 기술 및 Feature Space 연구

  • 오명석 (한국과학기술원 전기및전자공학부) ;
  • 김기범 (한국과학기술원 전기및전자공학부) ;
  • 박현철 (한국과학기술원 전기및전자공학부)
  • Received : 2015.10.02
  • Accepted : 2016.04.26
  • Published : 2016.06.07
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Abstract

Recent wireless communication trends have emphasized the importance of energy-efficient transmission. In this paper, link adaptation with machine learning mechanism for maximum energy efficiency in multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) wireless system is considered. For reflecting frequency-selective MIMO-OFDM channels, two-dimensional capacity(2D-CAP) feature space is proposed. In addition, machine-learning-based bit and power adaptation(ML-BPA) algorithm that performs classification-based link adaptation is presented. Simulation results show that 2D-CAP feature space can represent channel conditions accurately and bring noticeable improvement in link adaptation performance. Compared with other feature spaces, including ordered postprocessing signal-to-noise ratio(ordSNR) feature space, 2D-CAP has distinguished advantages in either efficiency performance or computational complexity.

무선 통신의 최근 동향을 살펴보면 에너지 효율적 전송의 중요성이 강조되고 있다. 본 논문은 multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) 무선 시스템에서 에너지 효율성을 최대화하기 위해 기계학습 기술을 사용하는 적응형 전송을 고려한다. MIMO-OFDM 시스템의 채널 상태를 효과적으로 나타내기 위한 two- dimensional capacity(2D-CAP) feature space와 classification 기술을 통해 에너지 효율적인 적응형 전송을 수행하는 machine-learning-based bit and power adaptation(ML-BPA) 알고리즘을 제안한다. 모의 실험 결과를 통해 2D-CAP이 본 논문이 고려하는 무선 채널 상태를 정확하게 나타내며, 이를 통해 적응형 전송의 성능을 향상시킴을 확인하였다. 또한, ordered postprocessing signal-to-noise ratio(ordSNR)를 포함한 다른 feature space들과 직접적인 비교를 통해 2D-CAP이 전송 성능이나 복잡도 측면에서 뚜렷한 이득을 가짐을 확인하였다.

Keywords

References

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