Advertisement

Clonal Selection Detection Algorithm for the V-BLAST System

  • Caihong Mu
  • Mingming Zhu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

A novel detection algorithm for V-BLAST system is proposed, based on the clonal selection theory and the idea of immune evolution. The complexity of the clonal selection detection algorithm for V-BLAST system (CA-VBLAST) is analyzed and the bit error ratio (BER) performance is verified via computer simulations. Simulation results show that the BER performance of CA-VBLAST detector with proper algorithm parameters is comparable with the maximum likelihood (ML) detector which presents the best BER performance but the highest computational complexity, and our CA-VBLAST detector obtains a much more decreased complexity.

Keywords

Mutation Probability Clonal Selection Artificial Immune System Iterative Generation Clonal Selection Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Foschini, G.J., Gans, M.J.: On limits of wireless communications in a fading environment when using multiple antenna. Wireless personal communications 6(3), 311–335 (1998)CrossRefGoogle Scholar
  2. 2.
    Chuah, C.-N., Foschini, G.J., et al.: Capacity growth of multi-element arrays in door and outdoor wireless channels. In: Proc of IEEE WCN 2000, Chicago, USA (2003)Google Scholar
  3. 3.
    Tarokh, V., Naguib, A., Seshadri, N.: Combined array processing and space-time coding. IEEE Trans. Inform. Theory 45(4), 1121–1128 (1999)MATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Foschini, G.J.: Layered Space-time Architecture for Wireless Communication in a Fading Environment when Using Multi-element Antennas. Bell Labs Technical Journal 1(2), 41–59 (1996)CrossRefGoogle Scholar
  5. 5.
    Wolniansky, P.W., Foschini, G.J., Golden, G. D., Valenzuela, R.A.: V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In: Proc. URSI Int. Symp. Signal, Systems, and Electronics, Pisa, Italy (1998)Google Scholar
  6. 6.
    Adjoudani, A., Beck, E.C., Burg, A.P., et al.: Prototype experience for MIMO BLAST over third-generation wireless system. IEEE Journal on Selected Areas in Communications, 440–451 (2003)Google Scholar
  7. 7.
    Golden, G.D., Foschini, C.J., Valenzuela, R.A., Wolniansky, P.W.: Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture. Electronics Letters 45(1), 14–16 (1999)CrossRefGoogle Scholar
  8. 8.
    Bhargave, A., de Figueiredo, R.J.P., Eltoft, T.: A detection algorithm for the V-BLAST system. In: IEEE Global Telecommunications Conference, pp. 494–498 (2001)Google Scholar
  9. 9.
    De Castro, L.N., et al.: The Clonal Selection Algorithm with Engineering Applications. In: Proc. of GECCO 2000, Workshop on Artificial Immune Systems and Their Applications, pp. 36–37 (2000)Google Scholar
  10. 10.
    Kim, J., et al.: Towards an artificial immune system for network intrusion detection: an investigation of clonal selection with a negative selection operator. In: Proceedings of the 2001 Congress on Evolutionary Computation, pp. 1244–1252 (2001)Google Scholar
  11. 11.
    Kim, J., Bentley, P.J.: Towards an artificial immune system for network intrusion detection: an investigation of clonal selection with a negative selection operator. In: Proceedings of the 2001 Congress on Evolutionary Computation, pp. 1244–1252 (2001)Google Scholar
  12. 12.
    Du, H., Jiao, L., Wang, S.: Clonal Operator and Antibody Clone Algorithms. In: Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing, November 4-5, 2002, pp. 506–510 (2002)Google Scholar
  13. 13.
    Du, H., Jiao, L., Gong, M.: Immune Memorizing Clonal Programming Algorithm. In: Proceedings of the Thirteenth Chinese Conference on Neural Network (2003)Google Scholar
  14. 14.
    Du, H., Jiao, L., Gong, M.: Immune Clonal Selection Algorithm and Evolutionary Algorithm. In: Proceedings of the Tenth Annual Science Seminar of Chinese Conference on Artificial Intelligence (2003)Google Scholar
  15. 15.
    Gong, M., Du, H., Jiao, L., Wang, L.: Immune clonal selection algorithm for multiuser detection in DS-CDMA systems. In: Webb, G.I., Yu, X. (eds.) AI 2004. LNCS (LNAI), vol. 3339, pp. 1219–1225. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Wai, W.K., Tsui, C.-Y., Cheng, R.S.: A low complexity architecture of the V-BLAST system. In: Wireless Communications and Networking Conference, WCNC, vol. 1, pp. 310–314. IEEE, Los Alamitos (2000)Google Scholar
  17. 17.
    Wang, X., Cao, L.: Genetic Algorithm - Theoretical Application and Software Implement. Xi’an Jiao Tong University Press (2002) (in chinese)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Caihong Mu
    • 1
  • Mingming Zhu
    • 1
  1. 1.Institute of Intelligent Information ProcessingXidian UniversityXi’anChina

Personalised recommendations