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.
KeywordsAmbient Noise Impulsive Noise Multiuser Detection Classical Channel Digital Subscriber Line
This work was prepared under the support of the National Science Foundation under Grant CNS-09-05398.
- 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
- 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.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.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
- 10.Helstrom CW (1976) Quantum detection and estimation theory. Academic, New YorkGoogle Scholar
- 11.Honig M (ed) (2009) Advances in multiuser detection. Wiley, New YorkGoogle Scholar
- 14.Middleton D (1977) Statistical-physical models of electromagnetic interference. IEEE Trans Electromagn C EMC-19(3):106–127Google Scholar
- 19.Poor HV, Tanda M (1999) Multiuser detection in impulsive channels. Annales des Telecommun 54(7–8):392–400Google Scholar
- 23.Verdú S (1986) Multiple-access channels with point-process observations: Optimum demodulation. IEEE Trans Inform Theor IT-32:642–651Google Scholar
- 27.Wang X, Poor HV (2004) Wireless communication systems: Advanced techniques for signal reception. Prentice-Hall, Upper Saddle River, NJGoogle Scholar