Average error probability for quadriphase modulated DS-SSMA communications through Nakagami fading channel

An asynchronous direct sequence spread spectrum multiple access system using quadrature phase shift keying modulation through Nakagami'sm-distributed fading channel is considered for nondiversity reception. Approximation to the average error probability is evaluated in two steps. Using the Gauss quadrature rule, the moments of the multiple interferences are used to evaluate the conditional probability conditioned on a fixed fading amplitude of the desired signal. The probability density function of the desired signal is Nakagami distributed. The average error probability which is the expected value of the conditional probability is evaluated by the trapezoidal integration method. This method provides a good approximation to the average error probability for a small to a fairly large number of users. Numerical results are presented for a set of Gold code of code length 127.

[1]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[2]  John G. Proakis,et al.  Digital Communications , 1983 .

[3]  M. Pursley,et al.  Numerical Evaluation of Correlation Parameters for Optimal Phases of Binary Shift-Register Sequences , 1979, IEEE Trans. Commun..

[4]  William H. Press,et al.  Book-Review - Numerical Recipes in Pascal - the Art of Scientific Computing , 1989 .

[5]  Evaggelos Geraniotis Direct-Sequence Spread-Spectrum Multiple-Access Communications Over Nonselective and Frequency-Selective Rician Fading Channels , 1986, IEEE Trans. Commun..

[6]  George L. Turin,et al.  A statistical model of urban multipath propagation , 1972 .

[7]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[8]  William C. Y. Lee,et al.  Mobile Communications Engineering , 1982 .

[9]  U. Charash Reception Through Nakagami Fading Multipath Channels with Random Delays , 1979, IEEE Trans. Commun..

[10]  Domenico Laforgia,et al.  Bit Error Rate Evaluation for Spread-Spectrum Multiple-Access Systems , 1984, IEEE Trans. Commun..

[11]  W. Press,et al.  Numerical Recipes: The Art of Scientific Computing , 1987 .

[12]  Andrew J. Viterbi,et al.  On the capacity of a cellular CDMA system , 1991 .

[13]  D. V. Sarwate,et al.  Error Probability for Direct-Sequence Spread-Spectrum Multiple-Access Communications - Part I: Upper and Lower Bounds , 1982, IEEE Transactions on Communications.

[14]  M. Kavehrad Performance of nondiversity receivers for spread spectrum in indoor wireless communications , 1985, AT&T Technical Journal.

[15]  E. A. Geraniotis,et al.  Error Probability for Direct-Sequence Spread-Spectrum Multiple-Access Communications - Part II: Approximations , 1982, IEEE Transactions on Communications.

[16]  W. R. Braun,et al.  A physical mobile radio channel model , 1991 .

[17]  H. Suzuki,et al.  A Statistical Model for Urban Radio Propogation , 1977, IEEE Trans. Commun..