DOI QR코드

DOI QR Code

적응 다중 빔형성 기법과 시공간 부호가 결합된 MIMO MC-CDMA시스템의 성능

Performance of MIMO MC-CDMA systems combining multi-beamforming algorithm with space-time coding

  • 김찬규 (한밭대학교 전자.제어공학과)
  • Kim, Chan Kyu (Department of Electronics & Control Engineering, Hanbat University)
  • 투고 : 2013.04.16
  • 발행 : 2013.08.15

초록

이 논문에서는 Pre-FFT 빔 형성기를 가진 MIMO(Multi-Input Multi-Out)-OFDM(Orthogonal Frequency Division Multiplexing)시스템 구조에 적합한 적응 빔 형성기법과 결합된 전력제어 기법을 제안한다. 제안된 전력제어 기법과 적응 빔 형성기법이 결합되어 송신전력을 제어하는 과정과 빔형성기 계수를 갱신하는 과정이 시간적으로 함께 iterative하게 이루어져서 수렴하게 되면 원하는 방향으로 빔이 형성되고 각 부반송파별로 원하는 SNIR 값에 수렴하게 되어 다중 사용자 환경에서 성능개선 효과를 얻을 수 있다. Pre-FFT 빔 형성기를 가진 MIMO-OFDM 시스템에 전력 제어기법을 결합할 경우 시스템의 성능 개선 효과를 모의 실험을 통하여 확인한다.

In this paper, the new multi-beamforming is proposed for Multiple-input multiple-output (MIMO) Multicarrier-Code division multiple access(MC-CDMA) systems to overcome the decrease of performance due to multiuser interference and multiple-antenna interference. Installing the number of multi-beamformer which is equal to the number of multi-transmitter antennas and exploiting the proposed approach at the receiver of MIMO MC-CDMA, the multi-beams are formed toward each multi-antenna of desired user and null beam are formed to other interference. Therefore, the performance of MIMO MC-CDMA system is improved as removing the interference signal. BER performance improvement is investigated through computer simulation by the proposed approach to MIMO MC-CDMA system.

키워드

참고문헌

  1. Shinuke Hara and Ramjee Prasad, "DS-CDMA, MC-CDMA and MT-CDMA for mobie multi-media communications," Proc. of VTC'96, Atlanta, pp. 1106-1110, Apr. 1996.
  2. Essam A. Sourour and Masao Nakagawa, "Performance of orthogonal multicarrier CDMA in a multipath fading channel," IEEE Trans. Comm., vol. 44, no. 3 pp. 356-367 Mar. 1996. https://doi.org/10.1109/26.486330
  3. S. M. Alamouti, "A simple transmitter diversity scheme for wireless communications," IEEE J. Select. Area Commun. Vol. 16, No. 8, pp. 1451-1458, Oct. 1998. https://doi.org/10.1109/49.730453
  4. V. Tarokh, N. Seshadri, and A. R.Calderbank, "Space-time codes for high data rate wireless communication: Performance criterion and code construction," IEEE Trans. Inform. Theory, vol. 4, pp. 744-765, Mar. 1998.
  5. M. Juntti, M. Vehkapera, J. Leinonen, Zexian Li and D. Tujkovic, "MIMO MC-CDMA communications for future cellular systems," IEEE commun. Mag.,vol.43, pp.118-124, Feb. 2005.
  6. Ahmadi,S., "An overview of next-generation mobile WiMAX technology," IEEE comm. Vol.47, no.6, 2009, pp. 84-98.
  7. G. Asadullah M.M. and G.orodon L. Stuber, " Joint Iterative channel estimation and soft-chip combing for a MIMO MC-CDMA anti-jam system," IEEE tran. On commun., vol. 57 No. 4, pp1068-1078, April 2009. https://doi.org/10.1109/TCOMM.2009.04.070013
  8. Z. Luo and D. Huang, "Iterative soft multiuser detection for MIMO MC-CDMA systems," IEEE VTC-fall, pp 1-5, Sept. 2008.
  9. Y. Zhang, L. B. Milstein and P. H. Siegel, "Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system," IEEE Trans. On commun., vol.53, No.4, pp.623-631, April 2005. https://doi.org/10.1109/TCOMM.2005.844963
  10. C. K. Kim and Y. S. Cho, "Pre-FFT adaptive bemaforming algorithm for OFDM systems with array antenna," IEICE Trans. Commun., Vol. E86-B, No.3, pp. 1144-1148, March 2003.