Efficient System Level Simulation Method for MIMO-OFDM System

MIMO-OFDM 시스템을 위한 효율적인 시스템 레벨 시뮬레이션 기법

  • Published : 2009.04.25

Abstract

This paper proposes an efficient system level simulation method for MIMO-OFDM based system in the multi-cell environment. The proposed method analyzes effects of the cell structure, radio channel characteristics and user mobility. The user mobility effect on the system level performance is considered in both channel gain and distance. The receiver SINR calculation procedure is presented in the system which adopts MIMO-OFDM scheme under various system environments. This method can be flexibly extensible to various system environments and provides computationally efficient system level simulation technique which utilizes link level performance analysis. Extensive computer simulations results are presented to obtain the system performance in the various mobile cellular channels using the proposed method. Also this results are analyzed based on the packet error rate for different distances between the base station located in the center of the cell and the mobile user.

본 논문에서는 다중 셀 환경에서 MIMO-OFDM 기반 시스템을 위한 효율적인 시스템 레벨 시뮬레이션 방법을 제안한다. 실제 시스템에서 셀의 구조, 라디오 채널의 특성, 사용자의 이동성이 미치는 영향에 대해 분석하며, 특별히 사용자의 이동성에 따른 시스템레벨에서의 성능영향을 채널이득과 이동거리, 두 가지 측면에서 모두 고려한다. 다양한 시스템 환경에 따른 영향을 MIMD-OFDM 구조를 가지는 시스템에 적용하여 수신 SINR을 구하는 과정을 제시한다. 링크레벨 시뮬레이션을 통하여 얻은 수신 SNR에 대한 성능곡선을 기초로 하여, 시스템 환경의 변화에 따른 확장이 용이하고 시뮬레이션 복잡도가 낮은 시스템 레벨 시뮬레이션 방법을 제안한다. 다양한 모바일 셀룰러 환경 파라미터에 따른 성능의 변화가 제안된 시뮬레이션을 통하여 얻어지며 그 결과는 셀 중심에 위치한 기지국과 사용자간의 거리에 따른 패킷오류율을 기반으로 분석된다.

Keywords

References

  1. H. Atarashi, S. Abeta, and M. Sawahashi, 'Variable spreading factor orthogonal frequency and code division multiplexing (VSF-OFCDM) broadband packet wireless access,' IEICE Trans. Commun., vol. E86-B, no. 1, pp. 291–299, Jan. 2003
  2. G. J. Foschini, Jr., 'Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,' Bell Labs Tech. J., pp. 41–59, 1996
  3. A. van Zelst, R. van Nee, and G. A. Awater, 'Space division multiplexing (SDM) for OFDM systems,' in Proc. IEEE Veh. Technol. Conf.-Spring May 2000, pp. 1070–1074
  4. X. Zhu and R. D. Murch, 'Performance analysis of maximum likelihood detection in a MIMO antenna system,' IEEE Trans. Commun., vol. 50, no. 2, pp. 187–191, Feb. 2002 https://doi.org/10.1109/26.983313
  5. P. W. Wolniansky, G. J. Foschini, G. D. Golden, and R. A. Valenzuela, 'V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel,' in Proc. URSI Int. Symp. Signals, Syst., Electron., Sep. 1998, pp. 295–300
  6. K. J. Kim and J. Yue, 'Joint channel estimation and data detection algorithms for MIMO-OFDM systems,' in Proc. 36th Asilomar Conf. Signals, Syst., Compute., Nov. 2002, pp. 1857–1861
  7. H. Kawai, K. Higuchu, N. Maeda, and M. Sawahashi, 'Adaptive Control of Surviving Symbol Replica Candidates in QRM-MLD for OFDM MIMO Multiplexing,' IEEE J. Sel. Areas Commun, vol. 24, no. 6, pp. 1130-1140, Jun. 2006 https://doi.org/10.1109/JSAC.2005.864027
  8. R. G. Gallager, 'Low-density parity-check codes,' IRE Trans. Inform. Theory, vol. IT-8, pp. 21–28, Jan. 1962
  9. D. J. Young and N. C. Beaulieu, 'The Generation of Correlated Rayleigh Random Variates by Inverse Discrete Fourier Transform', IEEE Trans. Commun. vol. 48, no. 7, pp. 1114-1127, July 2000 https://doi.org/10.1109/26.855519
  10. G.. Stuber, Principles of Mobile Communication 2nd. Boston, MA: Kluwer, 2001.
  11. Sung Ho Moon, Jae Hoon Chung, Jae Kyun Kwon, Suwon Park, Dan Keng Sung, Sungoh Hwang, and Jung gon Kim, 'System-Level Simulator for the W-CDMA Low Chip Rate TDD System' in IEEE 56th Vehicular Technology Conference, pp. 321 - 325, vol. 1, Sept. 2000