MIMO Receiver Using RBF Network Over Rich-Scattering fading channels

Rich-Scattering 페이딩 채널에서 RBF Network를 이용한 MIMO 수신기

  • 고균병 (연세대학교 전기전자공학과) ;
  • 강창언 (연세대학교 전기전자공학과) ;
  • 홍대식 (연세대학교 전기전자공학과)
  • Published : 2003.08.01

Abstract

This paper proposes a novel detection scheme using a radial basis function (RBF) network in a multi-input multi-output (MIMO) environment. In order to evaluate the performance of the proposed MIMO-RBF receiver, simulations are performed over the rich-scattering fading channel. Simulation results confirm that the proposed scheme shows the similar bit-error rate (BER) performance of a maximum likelihood detection (MLD) and outperforms Vertical-Bell Laboratories Layered Space-Time using minimum-mean-square-error nulling (VBLAST-MMSE) as well as VBLAST using zero-forcing nulling (VBLAST-ZF). Moreover, we investigate the effect on the performance of the number of RBF center with two modulation formats (BPSK and QPSK) and different number of transmit and receive antennas. The performance of the proposed detector is verified with respect to an initialization-rate of RBF centers.

본 논문에서는 RBF Network를 이용한 새로운 수신기법을 MIMO 환경에서 제안한다. 그리고, 제안된 수신기의 성능을 Rich-scattering 페이딩 채널에서의 모의 실험을 통해 검증한다. 모의 실험 결과를 통해 제안된 수신기가 MLD와 유사한 성능을 나타내고, VBLAST-ZF와 VBLAST-MMSE보다 우수한 성능을 나타냄을 확인하였다. 그리고, 다양한 송수신 안테나의 개수 및 변조 기법에 따른 RBF 개수가 성능에 미치는 영향을 조사하였으며, 제안된 수신기의 성능을 RBF 중심값의 초기화 율에 따라 확인하였다.

Keywords

References

  1. G. J. Foschini, 'Layered space-time architecure for wireless communication in a fading environment when using multiple antennas,' Bell System Tech. Journal., vol. 1, no. 2, pp. 41-59, 1996 https://doi.org/10.1002/bltj.2015
  2. G. J. Foschini and M. J. Gans, 'On limits of wireless communications in a fading environment when using multiple antennas,' Wireless Personal Commun., vol. 6, no. 3, pp. 311-335, 1998 https://doi.org/10.1023/A:1008889222784
  3. V. Tarokh N. Sechadri, and A. R. Calderbank, 'Space-time codes for high data rate wireless communications : Performnce criterion and code construction,' IEEE Trans. Inform. Theory., vol. 44, pp. 744-765, Mar. 1998 https://doi.org/10.1109/18.661517
  4. 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,' Proc. IEEE ISSSE'98, Pisa, Italy, pp. 295-300, 1998 https://doi.org/10.1109/ISSSE.1998.738086
  5. G. J. Foschini, G. D. Golden, R. A. Valenzuela, and P. W. Wolniansky, 'Simplified processing for high spectral efficiency wireless communication empolying multi-element arrays,' IEEE J. of Selected Areas in Comm., vol. 17, no. 11, pp. 1841-1852, Nov. 1999 https://doi.org/10.1109/49.806815
  6. S.Verdu, MULTIUSER DETECTION. CAMBRIDGE UNIVERSITY PRESS, 1998
  7. A. Lozano and C. Papadias, 'Layered Space time Receivers for Frequency-Selective Wireless Channels,' IEEE Trans. on Comm., vol. 50, no. 1, pp. 65-73, Jan. 2002 https://doi.org/10.1109/26.975751
  8. B. Mulgrew, 'Applying Radial Basis Functions,' IEEE Signal Processing Mag., pp. 50-65, Mar. 1996 https://doi.org/10.1109/79.487041
  9. S. Chen, B. Mulgrew, and P. M. Grant, 'A clustering technique for digital communications channel equalization using radial basis function networks,' IEEE Trans. on Neural Networks, vol. 4, no. 4, pp. 570-579, Jul. 1993 https://doi.org/10.1109/72.238312
  10. Sooyong Choi and Daesik Hong, 'A Suboptimal Bayesian Equalizer using a Nonlinear Multilayer Combiner,' Proc. IEEE NNSP'99, IX, pp. 353-362, Aug. 1999 https://doi.org/10.1109/NNSP.1999.788154
  11. Sooyong Choi and Daesik Hong, 'Performance of RBF equalizer in data storage channels,' in Proc. IEEE IJCNN'99, vol. 2, pp. 1077-1080, Jul. 1999 https://doi.org/10.1109/IJCNN.1999.831105
  12. Sooyong Choi and Daesik Hong, 'Nonlinear multilayer combining techniques for Bayesian equalizers using the radial basis function network as a digital magnetic storage equalizer,' IEEE Trans. on Magnetics, vol. 35, no. 5, pp. 2319-2321, Sep. 1999 https://doi.org/10.1109/20.800812
  13. S. Chen, S. Mclaughlin, B. Mulgrew, and P. M. Grant, 'Adaptive Bayesian Decision Feedback Equalizer for Dispersive Movile Radio Channels,' IEEE Trans. on Comm., vol. 43, no. 5, pp. 1937-1946, May 1995 https://doi.org/10.1109/26.387409
  14. U. Mitra and H. V. Poor, 'Neural Network techniques for Adaptive Multiuser Demodulation,' IEEE J. of Selected Areas in Comm, vol. 12, pp. 1460-1470, Dec. 1994 https://doi.org/10.1109/49.339913
  15. D. G. M. Cruickshank, 'Radial basis function receivers for DS-CDMA,' ELECTRONICS LETTERS, vol. 32, no. 3, pp. 188-190, Feb. 1996 https://doi.org/10.1049/el:19960175
  16. KyunByoung Ko, Sooyong Choi, Changeon Kang, and Daesilk Hong, 'A simplified multiuser receiver of DS-CDMA system,' in Proc. IEEE IJCNN'01, vol. 3, pp. 1977-1982, 2001 https://doi.org/10.1109/IJCNN.2001.938467
  17. KyunByoung Ko, Sooyong Choi, Changeon Kang, and Daesik Hong, 'RBF Multi-User Detector with Channel Estimation Capability in a Synchronous MC-CDMA System,' IEEE Trans. on Neural Networks, vol. 12, no. 6, pp. 1536-1539, Nov. 2001 https://doi.org/10.1109/72.963794
  18. IEEE Trans. on Neural Networks v.12 no.6 RBF Multi-User Detector with Channel Estimation Capability in a Synchronous MC-CDMA System KyunByoung Ko;Sooyong Choi;Changeon Kang;Daesik Hong https://doi.org/10.1109/72.963794