Multiple-Access Interference

  • H. Vincent Poor


Dramatic growth rates in capacity demands in wireless and other broadband systems have resulted in a rise in the use of communication networks in which multiple users share common communication resources. A significant consequence of this trend is the increasing presence of multiple-access interference (MAI), which arises in communication systems employing non-orthogonal multiplexing, that is, in multiple-access systems. This issue arises naturally, for example, in code-division multiple-access (CDMA) communication systems using nonorthogonal spreading codes. It also arises in orthogonally multiplexed wireless channels, such as time-division multiple-access (TDMA) and orthogonal frequency division multiple-access (OFDMA) channels, due to effects such as multipath or nonideal frequency channelization, and in wireline channels such as those arising in digital subscriber line (DSL) systems or powerline communications (PLCs) in which crosstalk and other types of interference are major impairments. MAI also arises in optical wave-division multiplexing (WDM) systems due to mode interactions caused by nonlinearities.


Ambient Noise Impulsive Noise Multiuser Detection Classical Channel Digital Subscriber Line 
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.



This work was prepared under the support of the National Science Foundation under Grant CNS-09-05398.


  1. 1.
    Brady D, Verdú S (1991) A semiclassical analysis of optical code division multiple access. IEEE Trans Commun 39(1):85–93CrossRefGoogle Scholar
  2. 2.
    Brandt-Pearce M, Aazhang B (1994) Performance analysis of single-user and multiuser detectors for optical code-division multiple-access communication systems. IEEE Trans Commun 42(2-4):434–444Google Scholar
  3. 3.
    Brandt-Pearce M, Aazhang B (1994) Multiuser detection for optical code-division multiple-access systems. IEEE Trans Commun 42(2-4):1801–1810CrossRefGoogle Scholar
  4. 4.
    Bross SI, Burnashev M, Shamai S (2001) Error exponents for the two-user Poisson multiple-access channel. IEEE Trans Inform Theor 46(5):1999–2016CrossRefMathSciNetGoogle Scholar
  5. 5.
    Concha JI, Poor HV (2004) Multiaccess quantum channels. IEEE Trans Inform Theor 50(5):725–747CrossRefMathSciNetGoogle Scholar
  6. 6.
    Concha JI, Poor HV (2001) Least-squares detectors in quantum channels. Proceedings of the 39th Annual Allerton Conference on Communication, Control and Computing, University of Illinois at Urbana-Champaign, Monticello, IL, October 3–5Google Scholar
  7. 7.
    Concha JI, Poor HV (2002) An optimality property of the square-root measurement for mixed states. Proceedings of the Sixth International Conference on Quantum Communication, Measurement and Computing, MIT, Cambridge, MA, July 22–26Google Scholar
  8. 8.
    Dai H et al. (2007) Multi-user Receiver Design. In: Bilgieri E, et al. (eds), MIMO wireless communications, Chap. 6. Cambridge University Press, Cambridge, UK, pp. 230–292Google Scholar
  9. 9.
    Elron N, Eldar YC (2005) Quantum detection with uncertain states. Phys Rev A 72(3):032338CrossRefGoogle Scholar
  10. 10.
    Helstrom CW (1976) Quantum detection and estimation theory. Academic, New YorkGoogle Scholar
  11. 11.
    Honig M (ed) (2009) Advances in multiuser detection. Wiley, New YorkGoogle Scholar
  12. 12.
    Karabulut GZ, Kurt T, Yongacoglu A (2005) Optical CDMA detection by basis selection. J Lightwave Technol 23(11):3708–3715CrossRefGoogle Scholar
  13. 13.
    Lapidoth A, Shamai S (1998) The Poisson multiple-access channel. IEEE Trans Inform Theor 44:488–501CrossRefMathSciNetGoogle Scholar
  14. 14.
    Middleton D (1977) Statistical-physical models of electromagnetic interference. IEEE Trans Electromagn C EMC-19(3):106–127Google Scholar
  15. 15.
    Motahari AS, Nasiri-Kenari M (2004) Multiuser detection for optical CDMA networks based on expectation-maximization algorithm. IEEE Trans Commun 52(4):652–660CrossRefGoogle Scholar
  16. 16.
    Nelson LB, Poor HV (1995) Performance of multiuser detection for optical CDMA - Part I: Error probabilities. IEEE Trans Commun 43:2803–2811CrossRefMATHGoogle Scholar
  17. 17.
    Poor HV (1994) An introduction to signal detection and estimation, 2nd edn. Springer, New YorkMATHGoogle Scholar
  18. 18.
    Poor HV (2002) Dynamic programming in digital communications: Viterbi decoding to turbo multiuser detection. J Optim Theor Appl 115(3):629–657CrossRefMATHMathSciNetGoogle Scholar
  19. 19.
    Poor HV, Tanda M (1999) Multiuser detection in impulsive channels. Annales des Telecommun 54(7–8):392–400Google Scholar
  20. 20.
    Poor HV, Tanda M (2002) Multiuser detection in flat fading non-Gaussian channels. IEEE Trans Commun 50(11):1769–1777CrossRefGoogle Scholar
  21. 21.
    Seyfe B, Sharafat AR (2005) Signed-rank nonparametric multiuser detection in non-Gaussian channels. IEEE Trans Inform Theor 51(4):1478–1486CrossRefMathSciNetGoogle Scholar
  22. 22.
    Seyfe B, Sharafat AR (2006) Nonparametric multiuser detection in non-Gaussian channels. IEEE Trans Signal Process 54(1):22–33CrossRefGoogle Scholar
  23. 23.
    Verdú S (1986) Multiple-access channels with point-process observations: Optimum demodulation. IEEE Trans Inform Theor IT-32:642–651Google Scholar
  24. 24.
    Verdú S (1998) Multiuser detection. Cambridge University Press, Cambridge, UKMATHGoogle Scholar
  25. 25.
    Verdú S, Poor HV (1987) Abstract dynamic programming models under commutativity conditions. SIAM J Contr Optim 25(4):990–1006CrossRefMATHGoogle Scholar
  26. 26.
    Wang X, Poor HV (1999) Robust multiuser detection in non-Gaussian channels. IEEE Trans Signal Process 47(2):289–305CrossRefGoogle Scholar
  27. 27.
    Wang X, Poor HV (2004) Wireless communication systems: Advanced techniques for signal reception. Prentice-Hall, Upper Saddle River, NJGoogle Scholar
  28. 28.
    Yao YW, Poor HV (2004) Blind detection of synchronous CDMA in non-Gaussian channels. IEEE Trans Signal Process 52(1):271–279CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.School of Engineering and Applied SciencePrinceton UniversityPrincetonUSA

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