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Code-Division Multiple Access

  • Don Torrieri
Chapter

Abstract

Multiple access is the ability of many users to communicate with each other while sharing a common transmission medium. Wireless multiple-access communications are facilitated if the transmitted signals are orthogonal or separable in some sense. Signals may be separated in time (time-division multiple access or TDMA), frequency ( frequency-division multiple access or FDMA), or code (code-division multiple access or CDMA).CDMA is realized by using spread-spectrum modulation while transmitting signals from multiple users in the same frequency band at the same time. All signals use the entire allocated spectrum, but the spreading sequences or frequency-hopping patterns differ. Information theory indicates that in an isolated cell, CDMA systems achieve the same spectral efficiency as TDMA or FDMA systems only if optimal multiuser detection is used. However, even with single-user detection, CDMA is advantageous for cellular networks because it eliminates the need for frequency and time-slot coordination among cells, allows carrier-frequency reuse in adjacent cells, and imposes no sharp upper bound on the number of users.

Keywords

Power Control Multiuser Detector Successive Interference Canceller Spreading Sequence Symbol Error Probability 
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.

References

  1. 1.
    F. Adachi, M. Sawahashi, and K. Okawa, “Tree-structured Generation of Orthogonal Spreading Codes with Different Lengths for Forward Link of DS-CDMA Mobile Radio,” IEE Electronics Letters, pp. 27-28, Jan. 1997.Google Scholar
  2. 2.
    D. S. Saini and M. Upadhyay, “Multiple Rake Combiners and Performance Improvement in 3G and Beyond WCDMA Systems,” IEEE Trans. Veh. Technol., vol. 58, pp. 3361–3370, Sept. 2009.Google Scholar
  3. 3.
    D. V. Sarwate and M. B. Pursley, “Crosscorrelation Properties of Pseudorandom and Related Sequences,” Proc. IEEE, vol. 68, pp. 593–619, May 1980.CrossRefGoogle Scholar
  4. 4.
    M. B. Pursley, “Spread-Spectrum Multiple-Access Communications,” in Multi-User Communications Systems, G. Longo, ed., New York: Springer-Verlag, 1981.Google Scholar
  5. 5.
    M. B. Pursley, D. V. Sarwate, and W. E. Stark, “Error Probability for Direct-Sequence Spread-Spectrum Multiple-Access Communications—Part 1: Upper and Lower Bounds,” IEEE Trans. Commun., vol. 30, pp. 975–984, May 1982.CrossRefGoogle Scholar
  6. 6.
    A. R. Hammons and P. V. Kumar, “On a Recent 4-Phase Sequence Design for CDMA,” IEICE Trans. Commun., vol. E76-B, pp. 804–813, Aug. 1993.Google Scholar
  7. 7.
    T. G. Macdonald and M. B. Pursley, “The Performance of Direct-Sequence Spread Spectrum with Complex Processing and Quaternary Data Modulation,” IEEE J. Select. Areas Commun., vol. 18, pp. 1408–1417, Aug. 2000.CrossRefGoogle Scholar
  8. 8.
    S. Xie and S. Rahardja, “Performance Evaluation for Quaternary DS-SSMA Communications with Complex Signature Sequences over Rayleigh-fading Channels,” IEEE Trans. Wireless Commun., vol. 4, pp. 266–77, Jan. 2005.CrossRefGoogle Scholar
  9. 9.
    D. Torrieri, “Performance of Direct-Sequence Systems with Long Pseudonoise Sequences,” IEEE J. Select. Areas Commun., vol. 10, pp. 770–781, May 1992.CrossRefGoogle Scholar
  10. 10.
    G. Zang and C. Ling, “Performance Evaluation for Band-limited DS-CDMA Systems Based on Simplified Improved Gaussian Approximation,” IEEE Trans. Commun., vol. 51, pp. 1204–1213, July 2003.CrossRefGoogle Scholar
  11. 11.
    D. Torrieri, “Instantaneous and Local-Mean Power Control for Direct-Sequence CDMA Cellular Networks,” IEEE Trans. Commun., vol. 50, pp. 1310–1315, Aug. 2002.CrossRefGoogle Scholar
  12. 12.
    G. Stuber, Principles of Mobile Communication, 2nd ed. Boston: Kluwer Academic, 2001.Google Scholar
  13. 13.
    I. S. Gradsteyn and I. M. Ryzhik, Tables of Integrals, Series, and Products, 6th ed. San Diego: Academic Press, 2000.Google Scholar
  14. 14.
    M. Zorzi, “On the Analytical Computation of the Interference Statistics with Applications to the Performance Evaluation of Mobile Radio Systems,” IEEE Trans. Commun., vol. 45, pp. 103–109, Jan. 1997.CrossRefGoogle Scholar
  15. 15.
    C. C. Lee and R. Steele, “Closed-loop Power Control in CDMA Systems,” IEE Proc.-Commun., vol. 143, pp. 231–239, Aug. 1996.CrossRefGoogle Scholar
  16. 16.
    B. Levy, Principles of Signal Detection and Parameter Estimation. New York: Springer, 2008.CrossRefGoogle Scholar
  17. 17.
    A. J. Viterbi, CDMA Principles of Spread Spectrum Communication. Reading, MA: Addison-Wesley, 1995.zbMATHGoogle Scholar
  18. 18.
    C. Ding, Y. Yang, and X. Tang, “Optimal Sets of Frequency Hopping Sequences from Linear Cyclic Codes,”  IEEE Trans. Inf. Theory, vol. 56, pp. 3605–3612, July 2010.MathSciNetCrossRefGoogle Scholar
  19. 19.
    D. Peng and P. Fan, “Lower bounds on the Hamming auto- and cross correlations of frequency-hopping sequences,” IEEE Trans. Inf. Theory, vol. 50, pp. 2149–2154, Sept. 2004.Google Scholar
  20. 20.
    D. Torrieri, “Mobile Frequency-Hopping CDMA Systems,” IEEE Trans. Commun., vol. 48, pp. 1318–1327, Aug. 2000.CrossRefGoogle Scholar
  21. 21.
    F. Adachi and J. D. Parsons, “Unified Analysis of Postdetection Diversity for Binary Digital FM Radio,” IEEE Trans. Veh. Technol., vol. 37, pp. 189–198, Nov. 1988.CrossRefGoogle Scholar
  22. 22.
    D. Torrieri, Principles of Secure Communication Systems, 2nd ed. Boston: Artech House, 1992.Google Scholar
  23. 23.
    J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York: McGraw-Hill, 2008.Google Scholar
  24. 24.
    S. Verdu, Multiuser Detection. New York: Cambridge University Press, 1998.zbMATHGoogle Scholar
  25. 25.
    X. Wang and H. V. Poor, Wireless Communication Systems, Upper Saddle River, NJ: Prentice-Hall, 2004.Google Scholar
  26. 26.
    S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, NJ: Prentice-Hall, 2002.Google Scholar
  27. 27.
    S. P. Weber, J. G. Andrews, X. Yang, and G. de Veciana, “Transmission Capacity of Wireless Ad Hoc Networks with Successive Interference Cancellation,” IEEE Trans. Inf. Theory, vol. 53, pp. 2799–2812, Aug. 2007.CrossRefGoogle Scholar
  28. 28.
    M. Sawahashi, K. Higuchi, H. Andoh, and F. Adachi, “Experiments on Pilot Symbol-Assisted Coherent Multistage Interference Canceller for DS-CDMA Mobile Radio,” IEEE J. Select. Areas Commun., vol. 20, pp. 433–449, Feb. 2002.CrossRefGoogle Scholar
  29. 29.
    X. Tan and J. M. Shea, “An EM Approach to Multiple-Access interference Mitigation in Asynchronous Slow FHSS Systems,” IEEE Trans. Wireless Commun., vol. 7, pp. 2661-2670, July 2008.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Don Torrieri
    • 1
  1. 1.US Army Research LaboratoryAdelphiUSA

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