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Báo cáo hóa học: "Research Article Probability of Error of Linearly Modulated Signals with Gaussian Cochannel Interference in "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Probability of Error of Linearly Modulated Signals with Gaussian Cochannel Interference in | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 193183 13 pages doi 10.1155 2010 193183 Research Article Probability of Error of Linearly Modulated Signals with Gaussian Cochannel Interference in Maximally Correlated Rayleigh Fading Channels Luca Rugini and Paolo Banelli Department of Electronic and Information Engineering University of Perugia Via G. Duranti 93 06125 Perugia Italy Correspondence should be addressed to Luca Rugini luca.rugini@diei.unipg.it Received 30 November 2009 Revised 12 May 2010 Accepted 30 June 2010 Academic Editor Guosen Yue Copyright 2010 L. Rugini and P. Banelli. 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. 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 .