Hopfield neural network implementation of the optimal CDMA multiuser detector

IEEE Transactions on Neural Networks

Volumn 7, Issue 1, 1996, Pages 131-141

  Kechriotis, George I ^a   Manolakos, Elias S ^a  

^a Northeastern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMBINATORIAL MATHEMATICS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; OPTIMIZATION; REAL TIME SYSTEMS; SIGNAL DETECTION; SIGNAL RECEIVERS; SPREAD SPECTRUM COMMUNICATION;

CODE DIVISION MULTIPLE ACCESS; HOPFIELD NEURAL NETWORKS; MULTISTAGE DETECTOR; OPTIMAL MULTIUSER DETECTOR;

NEURAL NETWORKS;

EID: 0029752647     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.478397     Document Type: Article

References (23)

1. B.-P. Paris, B. Aazhang, and G. Orsak, "Neural networks for multiuser detection in CDMA communication," IEEE Trans. Commun., vol. 40, pp. 1212-1222, July 1992.
2. A. Jayakumar and J. Alspector, "An analog neural-network co-processor system for rapid prototyping of telecommunications applications," in Proc. Int. Wkshp. Applicat. Neural Networks Telecommun., Oct. 1993, pp. 13-19.
3. G. Kechriotis, E. Zervas, and E. S. Manolakos, "Using recurrent neural networks for adaptive communication channel equalization," IEEE Trans. Neural Networks, vol. 5, no. 2, pp. 267-278, Mar. 1994.
4. G. Kechriotis and E. S. Manolakos, "A hybrid digital computer-Hopfield neural network spread-spectrum CDMA detector for real-time multiuser demodulation," in Proc. 1994 IEEE-SP Int. Workshop Neural Networks Signal Processing, Ermioni, Greece, Sep. 1994, pp. 545-554.
5. _, "Parallel real-time recurrent learning for training large fully recurrent neural networks," IEEE Trans. Neural Networks, submitted, 1994.
6. _, "Training fully recurrent neural networks with complex weights," IEEE Trans. Circuits Syst. II, vol. 41, no. 3, pp. 245-248, Mar. 1994.
7. G. Kechriotis, "Feedback neural networks in digital communications: Algorithms, architectures and applications," Ph.D. dissertation, Northeastern Univ., Boston, MA, Aug. 1994.
8. S. Verdu, "Minimum probability of error for asynchronous Gaussian multiple-access channels," IEEE Trans. Inform. Theory, vol. IT-32, pp. 85-95, Jan. 1986.
9. S. Verdu, "Computational complexity of optimum multiuser detection," Algorithmica, vol. 4, pp. 303-312, 1989.
10. R. Lupas and S. Verdu, "Near-far resistance of multiuser detectors in asynchronous channels," IEEE Trans. Commun, vol. 38, pp. 496-508, Apr. 1990.
11. M. K. Varanasi and B. Aazhang, "Multistage detection in asynchronous code-division multiple access communications," IEEE Trans. Commun., vol. 38, pp. 509-519, Apr. 1990.
12. U. Mitra and H. V. Poor, "Adaptive receiver algorithms for near-far CDMA," in PIMRC 92, Oct. 1992, pp. 639-644.
13. G. Kechriotis and E. S. Manolakos, "Implementing the optimal CDMA multiuser detector with Hopfield neural networks," in Proc. Int. Wkshp Applicat. Neural Networks Telecommun., Princeton, NJ, Oct. 1993, pp. 60-67.
14. J. J. Hopfield, "Neurons with graded response have collective computational properties like those of two-state neurons," in Proc. Nat. Acad. Sci. USA, vol. 81, 1984, pp. 3088-3092.
15. D. V. Tank and J. J. Hopfield, "Simple neural optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit," IEEE Trans. Circuits Syst., vol. 33, pp. 533-541, May 1990.
16. J. J. Hopfield, "Neural networks and physical systems with emerging collective computational abilities," in Proc. Nat. Acad. Sci. USA, vol. 79, 1982, pp. 2554-2558.
17. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern., vol. 52, pp. 141-152, 1985.
18. J. Hertz, A. Krogh, and R. Palmer, Introduction to the Theory of Neural Computation. New York: Addison-Wesley, 1991.
19. J. Bruck, "On the convergence properties of the hopfield model," Proc. IEEE, vol. 78, pp. 1579-1585, Oct. 1990.
20. J. Proakis, Digital Communications. Englewood Cliffs, NJ: Prentice-Hall, 1988.
21. R. Gold, "Optimal binary sequences for spread spectrum multiplexing," IEEE Trans. Inform. Theory, pp. 619-621, Oct. 1967.
22. G. Kechriotis and E. S. Manolakos, "A hybrid digital signal processing-neural network CDMA multiuser detection scheme," IEEE Trans. Circuits Syst. II, Feb. 1995.
23. Z Xie, C. K. Rushforth, and R. T. Short, "Multiuser signal detection using sequential decoding," IEEE Trans. Commun., vol. 38, pp. 578-582, May 1990.