Direct-Sequence Spread-Spectrum Multiple-Access Communications With Random Signature Sequences: A Large Deviations Analysis

IEEE Transactions on Information Theory

Volumn 37, Issue 3, 1991, Pages 514-527

  Sadowsky, John S ^a   Bahr, Randall K ^b  

^a PURDUE UNIVERSITY   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

large devia ; Spread spectrum multiple access; tions

Indexed keywords

MATHEMATICAL STATISTICS--MONTE CARLO METHODS; MATHEMATICAL TECHNIQUES--ESTIMATION; PROBABILITY--RANDOM PROCESSES;

BIT ERROR PROBABILITY; DIRECT SEQUENCE SPREAD SPECTRUM; IMPORTANCE SAMPLING; LARGE DEVIATIONS ANALYSIS; MONTE CARLO ESTIMATION; MULTIPLE ACCESS COMMUNICATION;

RADIO TRANSMISSION;

EID: 0026156812     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.79907     Document Type: Article

References (20)

1. B. Aazhang and H. V. Poor, “Performance of DS/SSMA communications in impulsive channels—Part I: Linear correlation receivers,” IEEE Trans. Commun., vol. COM-35, pp. 1179–1188, 1987.
2. R. R. Bahadur and R. R. Rao, “On deviations of the sample mean,” Ann. Math. Statis., vol. 31, pp. 43–54, 1960.
3. P. Bratley, B. L. Fox, and L. E. Schrage, a Guide to Simulation, 2nd ed. New York: Springer, 1987.
4. J. A. Bucklew, P. Ney, and J. S. Sadowsky, “Monte Carlo simulation and large deviations theory for uniformly recurrent Markov chains,” J. Appl. Prob., vol. 27, pp. 44–59, Mar. 1990.
5. J. A. Bucklew, Large Deviations Techniques in Decision, Simulation, and Estimation. New York: Wiley, 1990.
6. T. S. Ferguson, Mathematical Statistics. New York: Academic Press, 1967.
7. R. G. Gallager, Information Theory and Reliable Communications. New York: Wiley, 1968.
8. E. A. Geraniotis and M. B. Pursley, “Error probability for direct-sequence spread-spectrum multiple-access communications—Part II: Approximations,” IEEE Trans. Commun., vol. COM-30, pp. 985–995, 1982.
9. J. M. Hammersley and D. C. Handscomb, Monte Carlo Methods. New York: Chapman and Hall, 1964.
10. V. Hunkel and J. A. Bucklew, “Fast simulation for functionals of Markov chains,” Proc. 1988 Conf. Inform. Sci. Syst., Princeton Univ., Princeton, NJ, Mar. 1988.
11. J. S. Lehnert and M. B. Pursley, “Error probability for binary direct-sequence spread-spectrum communications with random signature sequences,” IEEE Trans. Commun., vol. COM-35, pp. 87–98, 1987.
12. R. Lupas and S. Verdú, “Linear multiuser detectors for synchronous code-division multiple-access channels,” IEEE Trans. Inform. Theory, vol. 35, no. 1, pp. 123–136, Jan. 1989.
13. R. Lupas and S. Verdú, “Nearfar resistance of multiuser detectors in asynchronous channels,” IEEE Trans. Commun., vol. COM-38, pp. 496–508, 1990.
14. R. K. Morrow, Jr. and J. S. Lehnert, “Bit-to-bit error dependence in slotted DS/SSMA packet system with random signature sequences,” IEEE Trans. Commun., vol. COM-37, pp. 1052–1061, 1989.
15. M. B. Pursley, “Spread spectrum multiple-access communications,” in Multi-User Communications Systems, E. G. Longo, Ed. New York: Springer-Verlag, 1981.
16. M. B. Pursley, D. V. Sarwate, and W. E. Stark, “Error probability for direct-sequence spread-spectrum multiple-access communications—Part I: Upper and lower bounds,” IEEE Trans. Commun., vol. COM-30, pp. 975–984, 1982.
17. R. J. Serfling, Approximation Theorems of Mathematical Statistics. New York: Wiley, 1980.
18. S. Verdú, “Minimum probability of error for asynchronous Gaussian multiple-access channels,” IEEE Trans. Inform. Theory, vol. IT-32, no. 1, pp. 85–96, Jan. 1986.
19. S. Verdú, “Multiuser detection,” to appear in Adv. in Statis. Sig. Proc.
20. K. Yao, “Error probability of asynchronous spread spectrum multiple access communication systems,” IEEE Trans. Commun., vol. COM-25, pp. 803–809, 1977.