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  • Research Article
  • Open Access

Probability of Error of Linearly Modulated Signals with Gaussian Cochannel Interference in Maximally Correlated Rayleigh Fading Channels

EURASIP Journal on Wireless Communications and Networking20102010:193183

https://doi.org/10.1155/2010/193183

  • Received: 30 November 2009
  • Accepted: 30 June 2010
  • Published:

Abstract

We evaluate the probability of error of linearly modulated signals, such as phase-shift keying (PSK) and quadrature amplitude modulation (QAM), in the presence of Gaussian cochannel interference (CCI) and Rayleigh fading channels. Specifically, we assume that the fading channel of the CCI is maximally correlated with the fading channel of the signal of interest (SOI). In practical applications, the maximal correlation of the CCI channel with the SOI channel occurs when the CCI is generated at the transmitter, such as the multiuser interference in downlink systems, or when a transparent repeater relays some thermal noise together with the SOI. We analytically evaluate the error probability by using a series expansion of generalized hypergeometric functions. A convenient truncation criterion is also discussed. The proposed theoretical approach favorably compares with alternative approaches, such as numerical integration and Monte Carlo estimation. Among the various applications of the proposed analysis, we illustrate the effect of nonlinear amplifiers in orthogonal frequency-division multiplexing (OFDM) systems, the downlink reception of code-division multiple-access (CDMA) signals, and the outdoor-to-indoor relaying of Global Positioning System (GPS) signals.

Keywords

  • Global Position System
  • Global Position System
  • Fading Channel
  • Hypergeometric Function
  • Thermal Noise

Publisher note

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Authors’ Affiliations

(1)
Department of Electronic and Information Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy

Copyright

© L. Rugini and P. Banelli. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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