Adaptive Multi User Detection for FD-MC-CDMA in Presence of CFO

Автор: Guntu. Nooka Raju, B.Prabhakara Rao

Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt

Статья в выпуске: 4 Vol.4, 2014 года.

Бесплатный доступ

The main targets of multi-carrier direct sequence code division multiple access (MC-DS-CDMA) mobile communication systems are to overcome the multi-path fading influences as well as the near-far effect and to increase its capacity. Different types of optimal and suboptimal multi-user detection schemes have been proposed and analyzed in literature. Unfortunately, most of them share the drawback of requiring an efficient practical solution. Genetic algorithm provides a more robust and efficient approach for solving complex real world problem such as multi user detection, but genetic algorithms are not computationally efficient. Computational complexity and performance of the genetic algorithms depends on number of generations and/or the population size, schemes involving genetic algorithms would compromise in computational complexity or performance. In this paper we propose adaptive population sizing genetic algorithm based multi user detection algorithm and compare its performance with existing multi user detection algorithms in various channels. Simulation results confirmed that the proposed adaptive genetic algorithm assisted multi user detection algorithm performs better compared to the existing multi user detection algorithms.


Frequency division-Multicarrier CDMA (FD- MC-CDMA), Multiuser detection, Carrier Frequency Offset (CFO), Fuzzy logic based Adaptive genetic algorithm

Короткий адрес:

IDR: 15012876

Список литературы Adaptive Multi User Detection for FD-MC-CDMA in Presence of CFO

  • Zhiqiang Wu, Carl R. Nassar,” FD-MC-CDMA: A Frequency-Based Multiple Access Architecture for High Performance Wireless Communication”, IEEE Transactions on Vehicular Technology, Vol. 54, No. 4, July 2005.
  • Rensheng Wang, Hongbin Li and Tao Li, Robust Multiuser Detection for Multicarrier CDMA Systems” IEEE Journal on Selected Areas In Communications, Vol. 24, No. 3, March 2006.
  • Mohamad Y. Alias, Sheng Chen, and Lajos Hanzo, “Multiple-Antenna-Aided OFDM Employing Genetic-Algorithm-Assisted Minimum Bit Error Rate Multiuser Detection” IEEE Transactions On Vehicular Technology, Vol. 54, No. 5, September 2005.
  • Kai Yen and Lajos Hanzo “Genetic-Algorithm-Assisted Multiuser Detection in Asynchronous CDMA Communications” IEEE Transactions on Vehicular Technology, Vol.53, No. 5, Sep 2004.
  • Fernando G. Lobo and Cl′audio F. Lima “Adaptive Population Sizing Schemes in Genetic Algorithms”
  • Cem Ergün and Kadri Hacioglu” Multiuser Detection Using a Genetic Algorithm in CDMA Communications Systems” IEEE Transactions on Communications, Vol. 48, No. 8, August 2000.
  • H. S. Lim, M. V. C. Rao, Alan W. C. Tan, and H. T. Chuah,” Multiuser Detection for DS-CDMA Systems Using Evolutionary Programming” IEEE Communications Letters, Vol. 7, No. 3, March 2003.
  • K. Seshadri Sastry, Prasad Babu.M.S(2013), “Adaptive Population Sizing Genetic Algorithm Assisted Maximum Likelihood Detection of OFDM Symbols in the Presence of Nonlinear Distortions” International Journal of Computer Network and Information Security, June 2013,Vol 5, issue 7, pp 58-65, DOI: 10.5815/ijcnis.2013.07.07, , print ISSN 2074-9090, online ISSN 2074-9104, MECS publications, HongKong.
  • K. Seshadri Sastry,” Adaptive Modulation Using Neuro-Fuzzy (N-F) Controller for OFDM System”, Vol. 1, No. 2, pp. 85-89, June 2013. doi: 10.12720/ijeee.1.2.85-89, 2013 4th International Conference on Signal and Information Processing, 06-07 July 2013, Kowloon, Hong Kong.
  • Hara, S., &Prasad, R.(1997). Overview of multi-carrier CDMA.IEEE Communications Magazine, 35,126–133.
  • Juntti, M., Vehkapera, M., Leinonen, J., Li, Z., Tujkovic, D., Tsumura, S., & Hara, S. (2005). MIMO MC- CDMA communications for future cellular system. IEEE Communications Magazine, 43,118–124.
  • Kalofonos, D. N., Stojanovic, M., &Proakis, J. G. (2003). Performance of adaptiveMC-CDMA detectors in rapidly fading channels. IEEE Transactions on Communications, 2, 229–239. . Miller, S. L., & Rainbolt, B. J. (2000).MMSE detection of multicarrier CDMA. IEEE Journal on Selected Areas in Communications, 18, 2356-62.
  • Yi, S. J., Tsimenidis, C. C., Hinton, O. R., & Sharif, B. S. (2003). Computationally efficient adaptive MMSE receiver for synchronous MC-CDMA communication systems. Electronic Letters, 39, 1539–1541.
  • Li, J., Letaief, K. B., & Cao, Z. (2004). A reduced-complexity maximum likelihood method for multiuser detection. IEEE Transactions on Communications, 52, 289–295.
  • Verdu, S. (1998). Multiuser detection. Cambridge: Cambridge University Press.
  • Hanzo, L., Yang, L.-L., Kuan, & Yen, K.(2003). Single- and multi-carrier DS-CDMA.NewYork:Wiley/IEEE Press.
  • Fang, L., & Milstein, L. B. (2000). Successive interference cancellation in multicarrier DS/CDMA. IEEE Transactions on Communications, 48, 1530–1540.
  • Hung, H.-L., Huang, Y.-F., & Wen, J.-H. (2008). An adaptive multistage parallel interference Canceller for CDMA communication systems. IEEE Transactions on Vehicular Technology, 57(3), 1944–1951.
  • Varanasi, M. K., & Aazgang, B. (1990). Multistage detection in asynchronous code division multiple access communications. IEEE Transactions on Communications, 38, 509–519.
  • Abedi, S., & Tafazoll, R. (2002). Genetically modified multiuser detection for code division multiple access systems. IEEE Journal on Selected Areas in Communications, 20, 463–473,.
  • Ergun, C., &Haciglu, K. (2000).Multiuser detection using a genetic algorithm in CDMA Communication systems. IEEE Transactions on Communications, 48, 1374–1383.
  • Goldberg, D. E. (1989). Genetic algorithm in search, optimization, and machine learning.Addison:Wesley.
  • Hanzo, L., Yang, L.-L., Kuan, E.-L., & Yen, K. (2003). Single- and multi-carrier DS-CDMA. NewYork: Wiley/IEEE Press.
  • Yang, L.-L., & Hanzo, L. (2003). Multicarrier CDMA systems a multiple access scheme for ubiquitous broadband wireless communication. IEEE Communications Magazine, 41, 116–124.
  • Lain, J.-K., & Lai, J.-J. (2007). Ant colony optimisation-based multiuser detection for direct-sequence CDMA systems with diversity reception. IET Communications, 1, 556–561.
  • Soo, S. H., & Rao, S. S. (2000). Annealed neural network based multiuser detector in code division multiple access communications. IET Communnications, 47, 57–62.
  • Fernando G. Lobo1 and Cl′audio F. Lima1 “Adaptive Population Sizing Schemes in Genetic Algorithms”
  • V. A. Valk′o “Self-calibrating Evolutionary Algorithms: Adaptive Population Size.” Master’s thesis, Free University Amsterdam, 2003.
Статья научная