The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems

FDD Massive MIMO 시스템에서의 적응 채널 추정 기법

  • Chung, Jinjoo (Department of Electrical and Computer Engineering, INMAC, Seoul National University) ;
  • Han, Yonghee (Department of Electrical and Computer Engineering, INMAC, Seoul National University) ;
  • Lee, Jungwoo (Department of Electrical and Computer Engineering, INMAC, Seoul National University)
  • Received : 2015.03.31
  • Accepted : 2015.07.15
  • Published : 2015.07.31
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Abstract

In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system, the computational complexity of downlink channel estimation is proportional to the number of antennas at a base station. Therefore, effective channel estimation techniques may have to be studied. In this paper, novel channel estimation algorithms using adaptive techniques such as Kalman and least mean square (LMS) filters are proposed in a channel model with temporal and spatial correlation.

Frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) 시스템에서 하향 링크 채널 추정의 계산 복잡도는 기지국의 안테나 개수와 비례한다. 그러므로 이러한 시스템에서의 효율적인 채널 추정 방식이 연구 될 필요가 있다. 본 논문에서는 채널이 시간적, 공간적 상관관계를 가지는 모델에서 Kalman 필터와 least mean square (LMS) 등과 같은 적응 신호처리 기법을 이용한 채널 추정 방식을 제안한다.

Keywords

References

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