An Multiple Access Interference Mitigation Technique Using Linearly Constrained Constant Modulus Algorithm in MC-CDMA Systems

Linearly Constrained Constant Modulus Algorithm을 이용한 MC-CDMA 시스템에서의 MAI 완화 기법

  • 김동주 (연세대학교 전기${\cdot}$전자공학과 정보통신 연구실) ;
  • 김주응 (연세대학교 전기${\cdot}$전자공학과 정보통신 연구실) ;
  • 정성순 (동양공업전문대학교 전자통신학과) ;
  • 홍대식 (연세대학교 전기${\cdot}$전자공학과 정보통신 연구실) ;
  • 강창언 (연세대학교 전기${\cdot}$전자공학과 정보통신 연구실)
  • Published : 2002.01.01

Abstract

In this paper, two interference suppression schemes (LCCMA, HIC) applied to the MC-CDMA system were proposed. The proposed schemes have advantages that it don't requires the other's spreading code and can be used even in mobile. The proposed HIC combines the proposed interference suppressor with PIC. Simulation is performed in various environments using the Monte Carlo method. Simulation results show that there is 1.4~3 times capacity increase in corresponding simulation environments. Also this scheme can take advantage of path diversity whereas the system using EGC, MRC, and PIC cannot. Therefore, as the number of path increase, a considerable performance improvement can be attained.

본 논문에서는 MC-CDMA 시스템에 적용 가능한 LCCMA(Linearly Constrained Constant Modulus Algorithm)와 HIC(Hybrid Interference Canceller)형태의 두 가지 간섭 제거 구조를 제안하였다. 제안된 구조는 사용자의 확산 부호만을 요구하므로 여러 가지 제한이 있는 이동국에서도 적용이 가능한 장점이 있다. 이와 더불어, 본 논문에서는 LCCMA와 PIC(Parallel Interference Canceller)를 결합한 새로운 구조의 HIC를 제안하였다. 다양한 환경에서 Monte Carlo 모의시험이 수행한 결과, 제안된 LCCMA 및 HIC 구조를 사용한 시스템이 역방향 링크와 순방향 링크에서 각각 MRC(Maximum Ratio Combining)와 EGC(Equal Gain Combining)를 사용한 시스템보다 실험 환경에 따라 1.4~3배정도 용량이 증가되며, MRC나 EGC에서 얻을 수 없었던 경로 다이버시티의 이용이 가능하여, 경로수가 증가할 경우 성능이 향상됨을 실험을 통하여 확인하였다.

Keywords

References

  1. N. Yee, J. P. Lhmartz and G. Fettweis, 'Muldcarrier CDMA in indoor wireless radio networks', Proc. IEEE PIMRC'93, pp. 468-472, Sept. 1993
  2. S. Verdu, 'Adaptive Multiuser Detection,' Proc. IEEE 3rd International Symposium on Spread Spectrum Techniques and Applications,vol. 1, pp.43-50, 1994 https://doi.org/10.1109/ISSSTA.1994.379617
  3. F. Petre, P. Vandenameele, A. Bourdoux, B. Gyselinckx, M. Engels, M. Moonen, H. De Man, 'Combined MMSE/pcPIC multiuser detection for MC-CDMA,' Vehicular Technotogy Conference Proceedings, pp. 770-774 vol.2 , May 2000
  4. R. Le Gouable, M. Helard, 'Performance of single and multi-user detection techniques for a MC-CDMA system over channel model used for HIPERLAN2,' IEEE Sixth International Symposium on Spread Spectrum Techniques and Apptications 2000, vo1.2 , pp. 718 -722
  5. U. Madhow, M.L. Honig, 'MMSE Interference Suppression for Direct-Sequence Spread- Spectrum CDMA,' IEEE Transaction on Communications, vol. 42, no. 12, pp. 3178-3188, Dec. 1994 https://doi.org/10.1109/26.339839
  6. S.L. Miller, 'An Adaptive Direct-Sequence Code-Division Multiple-Access Receiver for Multiuser Interference Rejection', IEEE Transactions on Communications, vol. 43, no. 2/3/4, Feb./Mar./Apr. 1995
  7. M.L. Honig, U. Madhow, S, Verdu, 'Blind Adaptive Multiuser Detection,' IEEE Transactions on Information theory, vol. 41, no. 4, pp. 944-960. Jul. 1995 https://doi.org/10.1109/18.391241
  8. J. B. Schodorf and D. B. Williams, 'A Constrained Optimization Approach to Multiuser Detection,' IEEE Transaction on Signat Processing, vol. 45 pp.258-262, no. 1, Jan. 1997 https://doi.org/10.1109/78.552226
  9. J. G. Proakis, DigitaI Communications, 3rd Edition. McGraw-Hill, 1995
  10. N. Zecevic and J. H. Reed, 'Blind Adaptadon Algorithms For Direct-Sequence Sprca-Spectrum CDMA Single-User Detection', IEEE Vehicutar TechnoIogy Conference, pp.2133-2137, May 1997
  11. S. Haykin, Adaptive Fiher theory. Prentice Hall, 1996
  12. D. N. Godard, 'Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems', IEEE Trans- actions on communications, vol. COM. 28, pp. 1867-1875, Nov. 1980
  13. M. J. Rude and L. J. Griffiths, 'Incorporation of linear constraints into the constant modulus algorithm', Proc. IEEE ICASSP, pp. 968-971,1989
  14. C. B. Papadias, 'Methods for blind equaliza-tion and identification of linear channels', PhD Thesis in Stanford University, Mar. 1995
  15. B. Agee, 'The Least-Squares CMA: A New Technique for Rapid Correction of Constant Modulus Signals', Proc. ICASSP 86 Conference, pp.953-957, 1986
  16. R. Gooch, M. Ready, and J. Svoboda, 'A Lattice-Based Constant Modulus Adaptive Pilter,' Proc. Asitomar Conference on Signats, Systems and Computers, pp. 282-286, Pacific Grove, CA, 1987