Antenna-diversity-assisted genetic-algorithm-based multiuser detection schemes for synchronous CDMA systems

IEEE Transactions on Communications

Volumn 51, Issue 3, 2003, Pages 366-370

  Yen, K ^a   Hanzo, L ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Antenna diversity; Genetic algorithms; Multiuser detection; Synchronous code division multiple access (CDMA)

Indexed keywords

BIT ERROR RATE; COMPUTER SIMULATION; GENETIC ALGORITHMS; RAYLEIGH FADING; SIGNAL DETECTION; WHITE NOISE;

ANTENNA DIVERSITY; MULTIUSER DETECTION;

CODE DIVISION MULTIPLE ACCESS;

EID: 0038059309     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2003.809755     Document Type: Letter

References (15)

1. S. Verdú, "Minimum probability of error for asynchronous Gaussian multiple-access channels," IEEE Trans. Inform. Theory, vol. IT-32, pp. 85-96, Jan. 1986.
2. ____, Multiuser Detection. New York: Cambridge Univ. Press, 1998.
3. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
4. M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, MA: MIT Press, 1998.
5. M. J. Juntti, T. Schlosser, and J. O. Lilleberg, "Genetic algorithms for multiuser detection in synchronous CDMA," in Proc. IEEE Int. Symp. Information Theory, Ulm, Germany, July 1997, p. 492.
6. X. F. Wang, W. S. Lu, and A. Antoniou, "A genetic algorithm-based multiuser detector for multiple-access communications," in Proc. IEEE Int. Symp. Circuits and Systems, vol. 4, Monterey, CA, June 1998, pp. 534-537.
7. C. Ergün and K. Hacioglu, "Multiuser detection using a genetic algorithm in CDMA communications systems," IEEE Trans. Commun., vol. 48, pp. 1374-1383, Aug. 2000.
8. K. Yen and L. Hanzo, "Hybrid genetic algorithm-based multiuser detection schemes for synchronous CDMA systems," in Proc. IEEE Vehicular Technology Conf., Tokyo, Japan, May 2000, pp. 1400-1404.
9. L. Hanzo, L.-L. Yang, E.-L. Kuan, and K. Yen, Single- and Multi-Carrier CDMA. New York: Wiley/IEEE Press, 2003.
10. A. Klein, "Known and novel diversity approaches as a powerful means to enhance the performance of cellular mobile radio systems," IEEE J. Select. Areas Commun., vol. 14, pp. 1784-1795, Dec. 1996.
11. U. Fawer and B. Aazhang, "A multiuser receiver for code-division multiple-access communications over multipath channels," IEEE Trans. Commun., vol. 43, pp. 1556-1565, Feb.-Apr. 1995.
12. J. G. Proakis, Digital Communications, 3rd ed, Singapore: McGraw-Hill, 1995.
13. E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach," IEEE Trans. Evol. Comput., vol. 3, pp. 257-271, Nov. 1999.
14. T. Blickle and L. Thiele, "A comparison of selection schemes used in evolutionary algorithms," Evol. Comput., vol. 4, no. 4, pp. 361-394, Winter 1996.
15. G. Syswerda, "Uniform crossover in genetic algorithms," in Proc. 3rd Int. Conf. Genetic Algorithms, J. D. Schaffer, Ed., San Mateo, CA, 1989, pp. 2-9.