Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
권호 표지
DOI QR코드

DOI QR Code

Novel Soft Decision Generation Technique for Performance Improvement of 3GPP LTE-Advanced Systems with Multiple Antennas

다중 안테나를 사용하는 3GPP LTE-Advanced 시스템의 성능향상을 위한 새로운 연판정 값 생성방식

  • Park, Jaeyoung (Division of Computer and Telecom. Engineering, Yonsei University) ;
  • Kim, Jaekwon (Division of Computer and Telecom. Engineering, Yonsei University)
  • 박재영 (연세대학교 원주캠퍼스 컴퓨터정보통신공학부) ;
  • 김재권 (연세대학교 원주캠퍼스 컴퓨터정보통신공학부)
  • Received : 2014.07.04
  • Accepted : 2014.11.06
  • Published : 2014.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

3GPP LTE-Advanced systems adopt multiple antennas for high speed data transmission. In general, the receiver complexity of a spatially mutiplexed (SM) multiple-input multiple-output (MIMO) system grows in proportion to the number of candidate vectors. A large number of candidate vectors increases the reliability of the soft output values. The maximum likelihood (ML) signal detection with a large number of candidate vectors achieves high performance. On the other hand, low complexity receiver techniques with a small number of candidate vectors provide soft output values, such as low reliability. This paper addresses the improving reliability of the soft output obtained from a small number of candidate vectors. The improved performance of the proposed technique with the aid of computer simulations is reported.

LTE-A 시스템은 고속 데이터 전송을 위해 다중안테나를 장착하고 있다. 일반적으로 공간다중화 다중안테나 시스템의 수신기 복잡도는 후보벡터의 개수에 따라 증가한다. 후보벡터의 개수가 증가함에 따라 연판정 값의 신뢰도가 향상된다. 많은 수의 후보벡터를 생성하는 최우도 신호검출방식을 사용하면 우수한 성능을 달성할 수 있다. 반면 적은 개수의 후보벡터를 생성하는 저복잡도 수신기는 신뢰도가 낮은 연판정 값을 생성한다. 본 논문에서는 적은 수의 후보벡터를 사용해서 얻게되는 연판정 값의 신뢰도를 향상시키는 새로운 기술을 제안하고 모의실험을 통해 개선된 성능을 확인한다.

Keywords

References

  1. H. Kawai, K. Higuichi, N. Maeda, M. Sawahashi, T. Ito, Y. Kakura, A. Ushirokawa, and H. Seki, "Likelihood function for QRM-MLD suitable for soft-decision turbo decoding and its performance for OFCDM MIMO multiplexing in multipath fading channel," IEICE Trans. Commun., vol. E88-B, no. 1, pp. 57-57, Jan. 2005.
  2. K. Higuchi, H. Kawai, N. Maeda, M.Sawahashi, "Adaptive Selection of Surviving Symbol Replica Candidates Based on Maximum Reliability in QRM-MLD for OFCDM MIMO Multiplexing" 2004. GLOBECOM '04. IEEE, pp.2480 - 2486, Vol 4, 29 Nov.-3 Dec. 2004. DOI: http://dx.doi.org/10.1109/GLOCOM.2004.1378453
  3. S. Bahng, Y. Park, J. Kim, "QR-LRL Signal Detection for Spatially Multiplexed MIMO Systems" IEICE Trans. Commun., vol. E91-B, no. 10, pp. 3383-3386, Oct. 2008. DOI: http://dx.doi.org/10.1093/ietcom/e91-b.10.3383
  4. H. Hur, H. M. Woo, S. Bahng, Y. Park, J. Kim, "A Novel Soft Output Generation Method for Spatially Multiplexed MIMO Systems" IEICE J. KICS, vol. 33, no. 4, pp. 394-402, April 2008. DOI: http://dx.doi.org/10.1587/transcom.E92.B.3512
  5. H. Vetter, V. Ponnampalam, M. Sandell, and P. A. Hoeher, "Fixed Complexity LLL Algorithm" IEEE Trans. Signal Process., vol. 57, no. 4, pp. 1634-1637, Apr. 2009. DOI: http://dx.doi.org/10.1109/TSP.2008.2011827
  6. Y. Yang and J. Kim, "Fixed-complexity LLL-based Signal Detection for MIMO Systems" IEEE Trans. Veh. Tech., vol. 62, no. 3, pp. 1415-1419, Mar. 2013. DOI: http://dx.doi.org/10.1109/TVT.2012.2225856
  7. L. G. Barbero and J. S. Thompson, "Fixing the Complexity of Sphere Decoder for MIMO Detection" IEEE Trans. Wireless Commun., vol. 7, no. 6, pp. 2131-2142, June 2008. DOI: http://dx.doi.org/10.1109/TWC.2008.060378