Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지
DOI QR코드

DOI QR Code

An LDC-based MU-MIMO System with Pre-coding for Interference Cancellation and Robust Reception

간섭 제거와 수신 성능 향상을 위한 전처리기법을 적용한 LDC기반의 다중 사용자 다중 입출력 시스템

  • Park, Myung Chul (School of Electronics Engineering, Kyungpook National University) ;
  • Jo, Bong-Gyun (School of Electronics Engineering, Kyungpook National University) ;
  • Han, Dong Seog (School of Electronics Engineering, Kyungpook National University)
  • Received : 2013.01.23
  • Published : 2013.04.25
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, a coding algorithm is proposed for multi-user multi-input multi-output (MU-MIMO) systems to improve the reception performance in fading conditions without reducing the bandwidth efficiency. The space division multiple access (SDMA) scheme that is one of the commonly used for MU-MIMO systems is vulnerable to the fading. The space time block code (STBC) scheme that is used to overcome the fading has a disadvantage of reduced throughput. The proposed MU-MIMO system first encodes transmitted symbols by linear dispersion code (LDC) which is less vulnerable to the fading and increases the throughput in proportional to the number of transmit antennas. Then, the LDC coded symbols are pre-coded by the result of singular value decomposition (SVD) of the estimated channel gain. We evaluate the performance of the proposed scheme compared with the conventional algorithms by computer simulations.

본 논문에서는 다중사용자 다중입출력 시스템에서 대역폭 효율의 감소 없이 페이딩에 대한 수신 성능을 향상시키는 부호화 알고리듬을 제안한다. 기존의 다중사용자 다중입출력 방식으로 사용되는 공간분할다중화 방식은 페이딩 경로에 취약하며, 이를 극복하기 위한 시공간블록부호화 방식은 전송량이 떨어지는 단점이 있다. 이러한 문제점을 개선하기 위하여 제안 부호화 알고리듬은 페이딩 환경에 강인하고 전송량이 송신 안테나 개수에 비례하여 증가하는 LDC(linear dispersion code) 기법을 이용하여 송신 심벌을 부호화하고, 예측한 채널 이득의 특이값 분해 값을 LDC 부호화 심벌에 전처리하여 성능을 개선한다. 그리고 컴퓨터 모의실험을 통하여 기존 알고리듬과 제안하는 알고리듬의 성능을 비교 평가한다.

Keywords

References

  1. 이병주, 임채만, 그리고 심병효 "LTE-Advanced 표준에 바탕을 둔 다중사용자 MIMO의 기술개발 현황", 전자공학회 논문지 제 49권 TC편, 제4호, 18-25쪽, 2012년 4월
  2. W. Liu, L.L. Yang, and L. Hanzo "SVD-Assited Multiuser Transmitter and Multiuser Detector Design for MIMO Systems", IEEE Trans.Veh. Technol., VOL. 58, NO. 2, FEBRUARY 2009
  3. R. L. Choi and R. D. Murch, "New transmit schemes and simplified receivers for MIMO wireless communication systems," IEEE Trans. Wireless Commun., vol. 2, no. 6, pp. 1217-1230, Nov. 2003. https://doi.org/10.1109/TWC.2003.819024
  4. L. Choi and R. D. Murch, "A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach," IEEE Trans. Wireless Commun., vol. 3, no. 1, pp. 20-24, Jan. 2004. https://doi.org/10.1109/TWC.2003.821148
  5. Q. H. Spencer, A. L. Swindlehurst, and M. Haardt, "Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels," IEEE Trans. Signal Process., vol. 52, no. 2, pp. 461-471, Feb. 2004. https://doi.org/10.1109/TSP.2003.821107
  6. M. Joham, W. Utschick, and J. A. Nossek, "Linear transmit processing in MIMO communications systems," IEEE Trans. Signal Process., vol. 53,no. 8, pp. 2700-2712, Aug. 2005. https://doi.org/10.1109/TSP.2005.850331
  7. A. Wiesel, Y. C. Eldar, and S. Shamai, "Linear precoding via conic optimization for fixed MIMO receivers," IEEE Trans. Signal Process., vol. 54, no. 1, pp. 161-176, Jan. 2006. https://doi.org/10.1109/TSP.2005.861073
  8. S. M. Alamouti, "A Simple Transmit Diversity Technique for Wireless Communications" IEEE J. Sel. Areas Commun., VOL. 16, NO. 8, OCTOBER 1998.
  9. B. Hassibi and B. M. Hochwald, "High-Rate Codes That Are Linear in Space and Time", IEEE Trans. Inform. Theory, VOL. 48, NO. 7, JULY 2002.

Cited by

  1. A Golden Coded-Spatial Modulation MIMO System vol.50, pp.10, 2013, https://doi.org/10.5573/ieek.2013.50.10.031