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Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm

Year 2013, Volume: 3 Issue: 4, 94 - 100, 23.07.2016

Abstract

In the conventional single user detector in Direct Sequence-Code Division Multiple Access (DS-CDMA) systems, multiple access interference and near-far effect cause limitation of capacity. On the other hand, the optimal multiuser detector (OMUD) suffers from computational complexity that grows exponentially with the number of active users. During the last two decades, there has been a lot of interest in development of suboptimal multiuser detectors, which are low in complexity but deliver reasonable performance. In this paper, we present a novel multiuser detector based on the heuristic algorithm known as simulating annealing algorithm (SA). We evaluate performances of the proposed algorithm and compare it to the performances of Minimum Mean Square Error (MMSE) multiuser detectors. We show that the new algorithm outperforms the other one

References

  • Ciriaco, F., Abrao, T., Jeszensky P. J. E. (2006). DS/CDMA Multiuser Detection with Evolutionary Algorithms. Journal of Universal Computer Science, vol. 12, pp. 450-480.
  • Duel-Hallen, A., Holtzman, J., Zvonar, Z. (1995). Multiuser detection for CDMA systems. IEEE Personal Commun. Vol. 2, pp. 46–58.
  • Ergun, C., Hacioglu, K. (2000). Multiuser detection using a Genetic-algorithm in cdma communication systems. IEEE Trans. on Commun. Vol. 48, , pp. 1374–1383.
  • Hsieh, Y. T., Wub, W. R. (2011). Adaptive parallel interference cancellation for CDMA systems—A weight selection and filtering scheme. Signal Processing, vol. 91, pp. 1–14.
  • Morra, H., El Sheikh, A. U., Zerguine, A. (2009). Optimum multiuser detection in cdma using particle swarm algorithm. The Arabian journal for science and engineering, vol. 34, pp.197–202.
  • Moshavi, S. (1996). Multi-user detection for DS-CDMA communications. IEEE Commun. Mag. Vol. 34, pp.124–136.
  • Moshavi, S. (1996). Multiuser detection for DS-CDMA communications. IEEE Commun. Mag., vol. 34, pp. 132–136.
  • Tan, P. H., Rasmussen, L. K. (2002). A reactive tabu search heuristic for multiuser detection in CDMA. IEEE International symposium on information theory, pp.472.
  • Tan, P. H., Rasmussen, L. K. (2004). Multi-user detection in CDMA-A Comparison of Relaxations, Exacts, and Heuristic Search Methodes. IEEE Transactions on wireless Communications, Vol. 3, pp. 1802–1809.
  • Verdu, S. (1986). Minimum probability of error for asynchronous Gaussian multiple-access channels. IEEE Trans. Inf. Theory vol. 32, pp. 85–96. Verdu, S. (1998). Multiuser Detection. Cambridge University Press, Cambridge, UK.
  • Wu, X., Chuah, T. C., Sharif, B. S., Hinton, O. R. (2003). Adaptive robust detection for cdma using genetic algorithm. IEE Proceedings Communications, vol. 150, pp. 437–444.
  • Yen, K., Hanzo, L. (2000). Hybrid genetic algorithm based multiuser detection schemes for synchronous CDMA systems. In Procceding of 51th IEEE Vehicular Technology Conference. Tokyo, Japan, pp. 1400–1404.
  • Yen, K., Hanzo, L. (2001). Genetic algorithm assisted joint multiuser symbol detection and fading channel estimation for synchronous cdma systems. IEEE Journal on Selected Areas in Communic., vol. 19, pp.985–997.
  • Yen, K., Hanzo, L. (2004). Genetic-algorithm-assisted multiuser detection in asynchronous CDMA communications. IEEE Trans. On Vehicular Technology, vol.53, pp.1413–1422.
Year 2013, Volume: 3 Issue: 4, 94 - 100, 23.07.2016

Abstract

References

  • Ciriaco, F., Abrao, T., Jeszensky P. J. E. (2006). DS/CDMA Multiuser Detection with Evolutionary Algorithms. Journal of Universal Computer Science, vol. 12, pp. 450-480.
  • Duel-Hallen, A., Holtzman, J., Zvonar, Z. (1995). Multiuser detection for CDMA systems. IEEE Personal Commun. Vol. 2, pp. 46–58.
  • Ergun, C., Hacioglu, K. (2000). Multiuser detection using a Genetic-algorithm in cdma communication systems. IEEE Trans. on Commun. Vol. 48, , pp. 1374–1383.
  • Hsieh, Y. T., Wub, W. R. (2011). Adaptive parallel interference cancellation for CDMA systems—A weight selection and filtering scheme. Signal Processing, vol. 91, pp. 1–14.
  • Morra, H., El Sheikh, A. U., Zerguine, A. (2009). Optimum multiuser detection in cdma using particle swarm algorithm. The Arabian journal for science and engineering, vol. 34, pp.197–202.
  • Moshavi, S. (1996). Multi-user detection for DS-CDMA communications. IEEE Commun. Mag. Vol. 34, pp.124–136.
  • Moshavi, S. (1996). Multiuser detection for DS-CDMA communications. IEEE Commun. Mag., vol. 34, pp. 132–136.
  • Tan, P. H., Rasmussen, L. K. (2002). A reactive tabu search heuristic for multiuser detection in CDMA. IEEE International symposium on information theory, pp.472.
  • Tan, P. H., Rasmussen, L. K. (2004). Multi-user detection in CDMA-A Comparison of Relaxations, Exacts, and Heuristic Search Methodes. IEEE Transactions on wireless Communications, Vol. 3, pp. 1802–1809.
  • Verdu, S. (1986). Minimum probability of error for asynchronous Gaussian multiple-access channels. IEEE Trans. Inf. Theory vol. 32, pp. 85–96. Verdu, S. (1998). Multiuser Detection. Cambridge University Press, Cambridge, UK.
  • Wu, X., Chuah, T. C., Sharif, B. S., Hinton, O. R. (2003). Adaptive robust detection for cdma using genetic algorithm. IEE Proceedings Communications, vol. 150, pp. 437–444.
  • Yen, K., Hanzo, L. (2000). Hybrid genetic algorithm based multiuser detection schemes for synchronous CDMA systems. In Procceding of 51th IEEE Vehicular Technology Conference. Tokyo, Japan, pp. 1400–1404.
  • Yen, K., Hanzo, L. (2001). Genetic algorithm assisted joint multiuser symbol detection and fading channel estimation for synchronous cdma systems. IEEE Journal on Selected Areas in Communic., vol. 19, pp.985–997.
  • Yen, K., Hanzo, L. (2004). Genetic-algorithm-assisted multiuser detection in asynchronous CDMA communications. IEEE Trans. On Vehicular Technology, vol.53, pp.1413–1422.
There are 14 citations in total.

Details

Other ID JA56JC87ME
Journal Section Articles
Authors

Nacera Larbi This is me

F. Debbat This is me

A. Boudghen Stambouli This is me

Publication Date July 23, 2016
Published in Issue Year 2013 Volume: 3 Issue: 4

Cite

APA Larbi, N., Debbat, F., & Stambouli, A. B. (2016). Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm. TOJSAT, 3(4), 94-100.
AMA Larbi N, Debbat F, Stambouli AB. Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm. TOJSAT. July 2016;3(4):94-100.
Chicago Larbi, Nacera, F. Debbat, and A. Boudghen Stambouli. “Multiuser Detection in CDMA — A Comparison of Minimum Mean Square Error and Simulating Annealing Heuristic Algorithm”. TOJSAT 3, no. 4 (July 2016): 94-100.
EndNote Larbi N, Debbat F, Stambouli AB (July 1, 2016) Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm. TOJSAT 3 4 94–100.
IEEE N. Larbi, F. Debbat, and A. B. Stambouli, “Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm”, TOJSAT, vol. 3, no. 4, pp. 94–100, 2016.
ISNAD Larbi, Nacera et al. “Multiuser Detection in CDMA — A Comparison of Minimum Mean Square Error and Simulating Annealing Heuristic Algorithm”. TOJSAT 3/4 (July 2016), 94-100.
JAMA Larbi N, Debbat F, Stambouli AB. Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm. TOJSAT. 2016;3:94–100.
MLA Larbi, Nacera et al. “Multiuser Detection in CDMA — A Comparison of Minimum Mean Square Error and Simulating Annealing Heuristic Algorithm”. TOJSAT, vol. 3, no. 4, 2016, pp. 94-100.
Vancouver Larbi N, Debbat F, Stambouli AB. Multiuser detection in CDMA — A comparison of minimum mean square error and simulating annealing heuristic algorithm. TOJSAT. 2016;3(4):94-100.