Efficint Importance Sampling Techniques for Simulation of Multiuser Communication Systems

IEEE Transactions on Communications

Volumn 40, Issue 6, 1992, Pages 1111-1118

  Orsak, Geoffrey C ^a   Aazhang, Behnaam ^b  

^a GEORGE MASON UNIVERSITY   (United States)

^b RICE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER METATHEORY--COMPUTATIONAL COMPLEXITY; MULTIPLEXING; SAMPLING;

MULTIUSER COMMUNICATION SYSTEMS;

RADIO TRANSMISSION;

EID: 0026880990     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/26.142801     Document Type: Article

References (16)

1. B. Aazhang, B.P. Paris, and G. Orsak, “Neural networks for multiuser detection in code-division multiple-access communications,” IEEE Trans. Commun., vol. 40, July 1992; to be published.
2. B. Aazhang and H. V. Poor, “An analysis of nonlinear direct-sequence correlators,” IEEE Trans. Commun., vol. 37, p.p. 723–731, July 1989.
3. —, “Performance of DS/SSMA communications in impulsive channels—Part I: Linear correlation receivers,” IEEE Trans. Commun., vol. COM-35, pp. 1179–1188, Nov. 1987.
4. —, “Performance of DS/SSMA communications in impulsive channels—Part II: Hard limiting correlation receivers,” IEEE Trans Commun., vol. 36, pp. 88–97, Jan. 1988.
5. 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, May 1982.
6. P. M. Hahn and M.C. Jeruchim, “Developments in the theory and application of importance sampling,” IEEE Trans. Commun., vol. COM-35, 706–714, July 1987.
7. G.W. Lank, “Theoretical aspects of importance sampling applied to false alarms,” IEEE Trans. Inform. Theory, vol. IT-29, pp. 73–82, Jan. 1983.
8. D. Lu and K. Yao, “Improved importance sampling technique for efficient simulation of digital communication systems,” IEEE J. Select Areas Commun., Jan. 1988.
9. G.C. Orsak and B. Aazhang, “Constrained solutions in importance sampling via robust statistics,” IEEE Trans. Inform. Theory, vol. IT-37, pp. 307–316, Mar. 1991.
10. “On the theory of importance sampling applied to the analysis of detection system,” IEEE Trans. Commun., vol. COM-30, pp. 332–339, Apr. 1989.
11. H. V. Poor and S. Verdu, “Single-user detectors for multiuser channels,” IEEE Trans. Commun., vol. 36, pp. 50–60, Jan. 1988.
12. 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, May 1982.
13. K. S. Shanmugam and P. Balaban, “A modified Monte-Carlo simulation technique for the evaluation of error rate in digital communication systems,” IEEE Trans. Commun., vol. COM-28 pp. 1916–1924, Nov. 1980.
14. M. K. Varanasi and B. Aazhang, “Near-optimum detection in synchronous code-division multiple-access systems,” IEEE Trans. Commun., vol. 39, pp. 725–736, May 1991.
15. S. Verdu, “Minimum probability of error for asynchronous Gaussian MA channels,” IEEE Trans. Inform. Theory, vol. IT-32, pp. 85–96, Jan. 1986.
16. K. Yao, “Error probability of asynchronous spread-spectrum multiple-access communication systems,” IEEE Trans. Commun., vol. COM-25, pp. 803–809, Aug. 1977.